Partner JobNew · 2d
Evolve Digital GmbH
Werkstudent Marketing (m/w/d) · Remote
75 · Good signals
Remote
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Evolve Digital GmbH
Remote
Current live feed
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Type
Internship · mid · Internet and software · vocational
JobiVerse estimate
₹4.5–₹9 LPA
Du studierst Marketing oder etwas Ähnliches, hast schon erste Social-Media-Erfahrung und behältst auch bei vielen Themen gleichzeitig den Überblick? Bei uns übernimmst du Verantwortung für unsere LinkedIn- und Instagram-Auftritte und hältst bei Content- und Leadmagnet-Projekten die Fäden zusammen. Dabei arbeitest du eng mit unserem Team zusammen und sorgst dafür, dass unser Marketing zuverlässig und in hoher Qualität live geht. Über EVOLVE Wir sind ein ganzheitlicher Wachstumspartner für E-Commerce-Brands im DACH-Raum. Unser eigenes Marketing betreiben wir mit demselben Anspruch wie für unsere Kunden: mit klarer Botschaft, datenbasiert und mit konsequentem Einsatz von AI, damit Inhalte schnell entstehen und trotzdem auf den Punkt sind. Das wirst du tun LinkedIn-Management: Du finalisierst und veröffentlichst Beiträge für unser Führungsteam und die EVOLVE-Unternehmensseite und setzt gezielte Kommentare im Netzwerk. Projektmanagement: Du steuerst unsere Leadmagnet- und Content-Projekte von der Planung bis zur Veröffentlichung und bist mitverantwortlich dafür, dass die gesetzten Ziele planmäßig erreicht werden. Instagram: Du verantwortest den Instagram-Auftritt von EVOLVE, briefst die Content-Erstellung und bringst die Beiträge online. Texte: Du finalisierst Marketingtexte wie Posts, Leadmagnets und Website-Inhalte und sorgst für einen einheitlichen Ton. AI im Marketing: Du erstellst Landingpages und weitere Marketing-Assets mit AI-Tools und übernimmst flexibel die Aufgaben, die im Marketing-Alltag anfallen. Deine Rolle und deine Ressourcen Du bist die zentrale Schnittstelle, an der unser Content zusammenläuft und von der aus er veröffentlicht wird. Inhaltliche Impulse kommen aus dem Team, Creatives und Videos von unseren Spezialisten für Design und Videoschnitt. Für Fragen, Feedback oder eine zweite Meinung steht dir unser Team jederzeit zur Seite. Das bringst du mit Du bist an einer Hochschule oder Universität eingeschrieben und studierst einen passenden Studiengang, z. B. Marketing, Kommunikations- oder Medienwissenschaften, BWL oder Germanistik. Du hast bereits praktische Erfahrung im Social Media Management gesammelt, idealerweise mit LinkedIn und Instagram, z. B. durch ein Praktikum, einen Werkstudentenjob oder eigene Projekte. Du kannst Erfahrung in der Erstellung und Veröffentlichung von Content nachweisen, belegbar durch betreute Accounts oder Arbeitsproben. Du hast bereits Marketing- oder Content-Projekte mit mehreren Beteiligten koordiniert. Du setzt AI-Tools wie ChatGPT, Claude oder Landingpage-Builder sicher im Alltag ein. Du sprichst Deutsch auf C2-Niveau in Wort und Schrift. Du arbeitest strukturiert, gehst proaktiv vor und übernimmst Verantwortung für die Qualität deiner Ergebnisse. Was wir dir bieten 100 % Remote, kein Hybrid-Kompromiss Werkstudententätigkeit mit 10 bis 20 Stunden pro Woche, in den Semesterferien gern auch mehr Flexible Zeiteinteilung, die sich nach deinem Studium richtet, solange Deadlines und Veröffentlichungstermine stehen Voller Zugriff auf unseren internen AI-Stack Kollegiale und wertschätzende Arbeitsatmosphäre mit flachen Hierarchien und offener Feedbackkultur Umfangreiche Fortbildungs- und Weiterentwicklungsmöglichkeiten Langfristige Perspektive, auch nach deinem Studienabschluss Deine Ansprechpartnerin Vanessa, unsere HR Managerin, ist dein erster Kontakt und freut sich auf deine Bewerbung. Find Jobs in Germany on Arbeitnow
Source: Arbeitnow · Updated 29 Oct 2026
dataiku
Remote
Type
Total Rewards
JobiVerse estimate
₹6.5–₹12.5 LPA
<div class="content-intro"><p><a href="https://www.dataiku.com/?utm_source=newswire&utm_medium=press-release&utm_campaign=PlatformforAISuccess" target="_blank">Dataiku</a> is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.<br><br>The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku <a href="https://blog.dataiku.com/?_gl=1*17edvf4*_ga*MjA1Mjk5NzY4OC4xNjY3MjMyMDUz*_ga_B3YXRYMY48*MTY2OTA1MDY5NS4xMi4xLjE2NjkwNTA2OTguNTcuMC4w" target="_blank">blog</a>, <a href="https://www.linkedin.com/company/dataiku/" target="_blank">LinkedIn</a>, <a href="https://x.com/dataiku" target="_blank">X</a>, and <a href="https://www.youtube.com/dataiku" target="_blank">YouTube</a>.</p></div><h1><strong>Senior Manager, Global Benefits</strong></h1> <p>We’re ~1,300 builders across 18 countries. We share context openly, work across functions and borders, question defaults, and own our outcomes. Our People team runs on Dataiku too, with AI agents and automated workflows.</p> <h2><strong>The role</strong></h2> <p><strong>Location:</strong> EMEA - Remote · <strong>Reports to:</strong> Global Total Rewards Lead</p> <p>You’ll own Dataiku’s global benefits programs across all countries where we operate. The goal: benefits that help us win AI talent, feel consistent and fair wherever people work, meet local requirements, and stay financially sustainable.</p> <p>Our People function is lean and decentralized. You’ll set benefits strategy with the Global Total Rewards Lead, partner directly with Finance, Legal, Payroll and our brokers, lead day-to-day benefits operations, and have real autonomy. This is a builder role: you’ll challenge how benefits work today and use AI to make them simpler to run and easier for employees to use.</p> <h2><strong>What you’ll do</strong></h2> <ul> <li> <strong>Shape the strategy.</strong> Define and evolve our global benefits philosophy with the Global Total Rewards Lead, balancing market competitiveness, consistency across countries and cost discipline.</li> <li> <strong>Own the global portfolio.</strong> Design and manage health, retirement, insurance, leave and wellbeing programs across our entities and EOR countries, setting a clear global floor with smart local variation.</li> <li> <strong>Run renewals and vendors.</strong> Lead annual renewals, broker and carrier relationships, and RFPs. Negotiate on data, not habit, and hold vendors to clear service levels.</li> <li> <strong>Keep us compliant.</strong> Make sure plans meet local rules in every country. You’ll own US compliance directly (ERISA, ACA, COBRA, nondiscrimination testing, Form 5500) as well as statutory and collective-agreement obligations in Europe and beyond.</li> <li> <strong>Manage cost.</strong> Own the global benefits budget and forecasts with Finance. Model plan changes, track claims and utilization trends, and bring clear trade-offs to decision-makers.</li> <li> <strong>Lead benefits operations.</strong> Lead the team that runs enrollment, life events, leaves, payroll and HRIS integrations, and EOR coordination. Build processes that scale without adding headcount.</li> <li> <strong>Use AI to reinvent the experience.</strong> Automate enrollment, eligibility checks, reconciliations and employee questions with AI agents and workflows. Make it easy for employees to understand and use what we offer.</li> <li> <strong>Support growth and change.</strong> Set up benefits for new countries, entity conversions from EOR, and acquisitions, with clean harmonization plans.</li> <li> <strong>Communicate clearly.</strong> Build benefits guides, open-enrollment campaigns and manager resources that people actually read.</li> </ul> <h2><strong>What we’re looking for</strong></h2> <ul> <li> Extensive global benefits experience in a global, high-growth tech or enterprise software company.</li> <li> Deep expertise in benefits design, renewals, vendor/broker management and benchmarking across multiple countries.</li> <li> Strong, hands-on US benefits compliance experience, plus experience with European programs and statutory requirements, including UK and French benefits and pensions.</li> <li> Experience managing benefits through both owned entities and Employer of Record providers (e.g. Deel, Remote).</li> <li> A track record of building or transforming benefits programs, not just administering them.</li> <li> Experience leading a team and influencing senior stakeholders in lean, fast-moving environments.</li> <li> Strong analytical skills for cost modeling and claims analysis, and real curiosity for AI and automation (Workday a plus).</li> </ul> <h2><strong>Why join us</strong></h2> <ul> <li> <strong>Real impact:</strong> shape benefits for a global AI company helping the world’s largest enterprises make AI work.</li> <li> <strong>Ownership:</strong> the autonomy to build, with direct access to Total Rewards, Finance and People leadership.</li> <li> <strong>Growth:</strong> help reinvent how People programs are delivered, with AI-powered workflows.</li> </ul> <p><span style="color: rgb(255, 255, 255);">#LI-Remote #LI-FR1</span></p><div class="content-conclusion"><div> </div> <div><strong>What are you waiting for!</strong></div> <div>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our <a href="https://www.linkedin.com/company/dataiku/">Dataiku LinkedIn page</a>.</div> <div> </div> <div><em>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: </em><a class="postings-link" ---------- <div> </div> <div><hr></div> <div> <div> </div> <div><strong>Protect yourself from fraudulent recruitment activity</strong></div> <div><em>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity <a href="https://www.dataiku.com/legal/dataiku-recruitment-scams/" target="_blank">here.</a></em></div> </div></div> Find Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
Constructor
Remote
Type
Full Time · Sales
JobiVerse estimate
₹6.5–₹12.5 LPA
About Us Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. Role Overview As a Sales Engineer, you will lead the technical components of the sales process. You will partner closely with Account Executives and prospective customers to design integration approaches, evaluate technical fit, and demonstrate how Constructor’s platform drives measurable business impact. This role combines technical architecture design, consultative discovery, and cross-functional collaboration. You will act as a bridge between customer engineering teams and Constructor’s Product and Engineering teams. This is not a demo-heavy role. Account Executives perform the majority of demonstrations at Constructor. This role requires architectural thinking, integration planning, and consultative problem-solving. Key Responsibilities Technical Sales & Solution Design Lead technical discovery and solution design for prospective customers Design and document integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines) Develop and support tailored Proof Schedules (lightweight POCs) Deliver technical presentations to both business and technical stakeholders Serve as primary technical advisor during evaluation cycles Troubleshoot and triage APIs, SDKs, and integration patterns Willingness to tinker and build demo prototypes and tooling Build and present compelling custom technical demonstrations and integration blueprints tailored to each sales opportunity Support RFP and RFI responses Cross-Functional Collaboration Partner with Product and Engineering to surface prospective customer feedback to influence product roadmap and integration strategy Contribute insights to the roadmap and the go-to-market strategy Support enablement and training for sales teams Help refine documentation, processes, and best practices within the SE function Market & Industry Engagement Stay current on ecommerce trends, AI/ML advancements, and the competitive landscape Represent Constructor in prospect meetings, partner engagements, field events, and other industry engagements Build strong relationships with prospective customer technical stakeholders (architects, engineers, delivery teams) Required Qualifications & Skills 3+ years of experience in technical Solutions Engineering, Sales Engineering, Pre-Sales Architect, or Technical Pre-Sales roles Deep hands-on experience with API-first platforms: comfortable working directly with REST APIs, JSON data structures, webhooks, and SDK integration patterns, and able to troubleshoot them with Postman or similar tools Working knowledge of JavaScript, TypeScript, Python, or similar languages, enough to read integration code, debug client-side implementations, and build lightweight prototypes or demo tooling Experience designing and running custom demos or pilots with clear, business-aligned success criteria Hands-on experience with coding agents to automate workflows, amplify impact, and execute at scale Ability to read the room, tailor your communication to diverse audiences, and identify detractors, champions, and key decision-makers Strong written and verbal communication, with a track record of producing clear technical documentation and explaining complex ideas to developers, architects, and C-suite executives alike Ability to effectively articulate complex ideas to both technical and non-technical audiences Ability to empathize with prospects’ challenges and goals Skilled listener with innate curiosity Passionate about innovative technology, technical sales, and articulating value to prospects Enjoys working with prospects and is comfortable interacting with C-suite executives from both technical and business perspectives Professional proficiency in Italian, French,Spanish, German is a plus Preferred Qualifications Experience in enterprise ecommerce or retail technology environments Hands-on familiarity with at least two major ecommerce platforms, including how each handles catalog structure, extensions, and headless versus templated frontends Deep understanding of data mapping between backend systems such as PIM, ERP, or legacy search indexes into a new target schema, possibly including product and variant structures, facets, attributes, and pricing logic Working knowledge of search and discovery concepts Experience supporting security reviews and procurement requirements, including GDPR, data processing agreements, data residency, and ISO 27001 or SOC 2 questionnaires Ability to build business value models that connect search improvements to revenue, conversion, or average order value Exposure to conversational or agentic shopping experiences, or retail media and sponsored product programs Multilingual: Professional proficiency in languages other than English What Success Looks Like Prospects clearly understand technical integration paths Proof Schedules ( a lightweight PoC ) align tightly with business outcomes Technical objections are addressed proactively and effectively Sales cycles are accelerated through a strong technical partnership Product and Engineering receive actionable, structured market feedback Qualitative (peer and prospect feedback) and quantitative (sales metrics and customer health scores) feedback will be positive and ideally, excellent Working Style Comfortable operating in a remote, distributed, and highly cross-functional environment Able to manage multiple sales engagements and priorities simultaneously A builder mindset that is proactive in creating structure in ambiguous environments Highly collaborative with a strong sense of ownership and autonomy Commercially aware and aligned with revenue and sales growth goals Resourceful self-starter who can operate autonomously You’ll Thrive Here If… You’re a curious, skilled listener who genuinely enjoys untangling a prospect’s technical challenges. You get energy from tinkering and building, whether that’s a quick prototype, an integration blueprint, or a better internal process. You’re as comfortable whiteboarding with an engineering team as you are presenting to a CTO. And you have a competitive streak—not just to win the technical evaluation, but to show how the right technical decisions drive meaningful business results. Benefits A competitive compensation package including stock options Fully remote team - choose where you live Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice . After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice . After that period your data will be deleted or anonymized. Find more English Speaking Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
Revun
Jaipur, Rajasthan
Type
full_time · IT Jobs
JobiVerse estimate
₹5.5–₹10.5 LPA
Compensation: CAD $48,000–$60,000 annually, based on experience and qualifications About Revun Revun is a SaaS, CRM, AI, and property operations platform that brings together leasing, maintenance, payments, owner/vendor payouts, communications, compliance, reporting, AI automation, portals, dashboards, integrations, and multiple user roles into one connected operating system. Revun is a complex operational platform requiring strong product judgment, workflow design, technical understanding, and…
Source: Adzuna · Updated 31 Oct 2026
Bromcom Computers Plc
Remote job
Type
Experienced · fulltime permanent · Software & QA · Remote
JobiVerse estimate
₹6.5–₹12.5 LPA
This is a dual role, split between approximately 60% AI-assisted development and agent orchestration, and 40% SQL Server development supporting large-scale data migration. You’ll work within the development team and report to the Software Manager, combining practical AI skills with strong SQL expertise to deliver reliable, efficient solutions. Key Responsibilities AI-Assisted Development & Agent Orchestration (c. 60%) Use AI coding assistants, such as Claude Code or GitHub Copilot, across the development lifecycle, including code generation, refactoring, testing, documentation and review. Build and maintain effective prompts, system instructions, reusable skills and context to produce consistent, reliable AI outputs. Design and orchestrate agents and multi-agent workflows, including task decomposition, tool use, agent hand-offs and human-in-the-loop checkpoints. Connect agents to internal systems, databases and APIs, for example through MCP or function calling. Evaluate AI output for accuracy, regression, cost and latency, and refine workflows based on results. Apply appropriate safeguards for data privacy, security and hallucination risk, particularly when customer or school data is involved. Identify and prototype opportunities to apply AI to development and data migration, and share best practice by supporting and coaching colleagues. SQL Server & Data Migration (c. 40%) Design, develop and maintain scalable SQL Server T-SQL solutions and related tools for data cleansing, migration and reconciliation. Provide database performance-tuning expertise for internal and third-party systems, using AI tooling where appropriate. Define technical requirements with non-technical colleagues in the Data Migration Team, and work with third parties to understand their software and support migration projects. Manage SQL Server database environments used for data migration, including backup and recovery in test environments. Prepare and expose data safely for agents and AI workflows, using AI to support SQL query generation, code review and optimisation. Plan and prioritise work independently, managing tasks against project timelines and requirements. The Ideal Candidate You’ll combine hands-on AI-assisted development skills with substantial SQL Server experience. You’ll be curious and adaptable, communicate clearly, and use good judgement to assess AI-generated output rather than accepting it uncritically. Demonstrable experience using AI coding tools and writing effective prompts, with practical examples of workflows or agents you have built. Substantial SQL programming experience and strong knowledge of the techniques and capabilities of Microsoft SQL Server 2017 or later. A strong grounding in data modelling, data management and data manipulation, alongside Git, version control and attention to detail. The ability to investigate problems independently, collaborate with colleagues and communicate clearly in writing and in person. Essential Skills Practical experience with AI coding assistants and strong prompting skills, supported by examples. Strong SQL Server T-SQL development and performance tuning, including experience supporting SQL Server in a large-scale environment. Experience with Git and version control. Excellent teamwork, communication and documentation skills. Desirable Skills Experience building agents or multi-agent workflows using Claude Code, MCP or similar frameworks. Familiarity with LLM APIs, evaluation approaches and prompt testing. Scripting or programming experience in Python or a similar language. Awareness of AI data protection and security considerations. A reasonable understanding of operating systems, infrastructure and networking. Find Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
SBM Offshore
Bangalore, Karnataka
Type
full_time · Engineering Jobs
JobiVerse estimate
₹6.2–₹11.8 LPA
Imagine your career taking you to the depths of innovation and the heights of impact. Our people enable continuous progress. Their commitment, collective expertise, and unique capabilities are the engine room behind SBM Offshore’s True. Blue. Transition. - shaping the future of energy, and beyond. About Us: SBM Offshore is a global leader in deepwater ocean infrastructure, delivering floating production solutions across the full asset lifecycle—from design and construction to installation and o…
Source: Adzuna · Updated 31 Oct 2026
Tether Operations Limited
Remote job
Type
Experienced · fulltime permanent · Regulatory Affairs and Licensing · Remote
JobiVerse estimate
₹6.5–₹12.5 LPA
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Tether is seeking an experienced and visionary Head of Regulatory Affairs to design and execute global regulatory affairs strategies for our Tether Data business vertical. At Tether Data, we are committed to pioneering advancements in AI and peer-to-peer (P2P) technologies. Our mission is to innovate and lead in the creation of technological solutions that empower people, communities, cities and countries to become more independent and sovereign. In a world constantly changing and becoming more unpredictable, technology should be used to ensure freedom and respect of human rights, rather than capturing people’s private digital lives. Responsibilities Policy Advocacy, Monitoring, Analysis and Guidance : Monitor, analyse and communicate changes in global regulatory policies, and advise executive leadership on potential regulatory risks and opportunities, while driving initiatives to influence regulatory frameworks as well as monitoring for change across regulations to ensure proactive compliance where required. Regulatory Advocacy and Thought Leadership : Leading or participating in regulatory agency interactions and advocacy work regarding legislation relevant to this field. Engaging with relevant regulatory authorities, industry bodies, collaborative communities, and policymakers to shape the regulatory landscape for AI and P2P. Regulatory Strategy Development : As appropriate, leading the development and execution of regulatory strategies, identifying preferable market/s from which to operate, and to ensure the company’s readiness for compliance with relevant national and international regulations. Cross-functional Leadership and Product Development : Collaborate with internal teams (e.g., R&D, legal, compliance) in both Tether and with our partners to to integrate regulatory considerations into the design and deployment of AI models and technologies, as applicable. Thought Leadership: Act as a thought leader both externally and within the organization, educating internal teams on regulatory issues, trends, and best practices in the AI and P2P space. Proven experience in a senior regulatory role, ideally within the technology, AI, or digital industries. Strong knowledge of global AI regulations, data privacy laws (e.g., GDPR), and emerging trends in AI and P2P governance. Legal, compliance, or policy background with a deep understanding of ethical AI principles is a plus. Demonstrated understanding of decentralised, self-sovereign and locally executed AI/P2P architectures—and the regulatory implications of these models—distinct from traditional centralised platform approaches. Demonstrated experience working with regulators and government bodies advocating and advising in a regulatory capacity, with demonstrated achievements securing favourable policy positions on behalf of another organisation. Expertise in preparing complex regulatory documents and other major regulatory submissions, including the preparation and execution of interactions with regulatory authorities. Bachelor’s or Master’s degree in Law, Policy, Computer Science, or related fields. Excellent written and verbal communication skills, with the ability to synthesise complex regulatory topics for non-technical audiences. Proven ability to manage multiple stakeholders across borders and time zones. Communication: Exceptional communication skills, both written and verbal, with experience in public speaking and representing companies in regulatory discussions. Must be a strong team player, and willing to be fully engaged with key stakeholders both in our company but also with our partners. Must be a hands-on professional capable of working collaboratively and independently. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Find more English Speaking Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
Tether Operations Limited
Remote job
Type
Experienced · fulltime permanent · Engineering · Remote
JobiVerse estimate
₹6.5–₹12.5 LPA
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in post-training methodologies, with a special focus on agentic behaviors and tool use. Your work will refine pre-trained models so that they not only deliver enhanced intelligence and domain specific capabilities, but also learn to reason, plan, and autonomously invoke external tools to solve real world, multi step tasks and applications on edge devices (i.e., smartphones). You will work on a wide spectrum of systems, ranging from streamlined, resource efficient agents that run on limited hardware to complex multi modal architectures integrating text, images, and audio, all optimized for tool augmented decision making. We expect you to have deep expertise in large language model architectures and substantial experience in post-training for agentic workflows, including tool use fine tuning, function calling, and reinforcement learning from feedback on multi turn interactions. You will adopt a hands-on, research driven approach to developing, testing, and implementing new post-training algorithms that unlock goal directed behavior, self correction, and reliable tool invocation. Your responsibilities include curating agentic training data (e.g., trajectories of tool use, reasoning chains, environment interactions), strengthening baseline performance, and identifying as well as resolving bottlenecks in post-training for tool augmented agents to achieve SOTA model quality. The goal is to build models that do not just know but also act, use tools, and adapt, pushing the limits of what agentic AI can achieve. Responsibilities Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results. Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration. Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure. Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment. Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training. Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models. Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases. Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred with a strong publication record in top-tier AI conferences. Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use. Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments). Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results. Proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face. Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Find Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
Morgan Stanley
Mumbai, Maharashtra
Type
full_time · IT Jobs
JobiVerse estimate
₹6.2–₹11.8 LPA
Java Development Lead _ Vice President _ Software Engineering We're seeking someone to join our Morgan Stanley's Fund Services Technology team as Java Development Lead in Institutional Securities Technology division. Role in MSGR Tech team is responsible for the design and development of Java-based applications. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the f…
Source: Adzuna · Updated 31 Oct 2026
Tether Operations Limited
Remote job
Type
Experienced · fulltime permanent · Engineering · Remote
JobiVerse estimate
₹6.5–₹12.5 LPA
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in multi-modal reinforcement learning to advance next-generation intelligent systems. Your work will focus on optimizing decision-making and adaptive behavior across integrated data modalities such as text, images and audio to deliver enhanced intelligence, robust performance, and domain-specific capabilities for real-world challenges. You will develop and scale reinforcement learning techniques within complex multi-modal architectures, including diffusion-based generative models and autoregressive models for multimodal understanding, as well as resource-efficient models designed for constrained hardware environments. This includes conducting research on reinforcement learning algorithms for multimodal models, spanning diffusion models for image autoregressive models for multimodal reasoning, and unified multimodal frameworks. You are expected to have deep expertise in designing multi-modal reinforcement learning systems and a strong background in advanced model architectures, with a hands-on, research-driven approach to building and deploying novel algorithms and training frameworks. You will design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes. Your responsibilities also include curating multi-modal simulation environments and training datasets, improving baseline policy performance across modalities, and identifying and resolving bottlenecks in multi-modal learning and reward optimization. In addition, you will explore next-generation reinforcement learning paradigms that more directly and effectively learn from environment feedback, with the goal of unlocking superior, domain-adapted AI performance in dynamic, real-world environments. Responsibilities Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches for image autoregressive models for multimodal understanding, and unified frameworks that integrate multiple modalities. Design and build reinforcement learning infrastructure that supports scalable, distributed training across multimodal systems while maintaining efficiency and reliability. Develop and refine reward modeling strategies that improve training stability, align model behavior with desired outcomes, and mitigate reward hacking and related failure modes. Create and curate multimodal simulation environments and datasets to support robust training, evaluation, and benchmarking of reinforcement learning systems. Design and conduct rigorous benchmarking and evaluation protocols to measure model performance, track progress against baselines, and validate improvements across multimodal tasks. Analyze and optimize policy performance across modalities by identifying bottlenecks in training, credit assignment, and cross-modal alignment. Investigate and develop next-generation reinforcement learning paradigms that more effectively learn from environment feedback, with the goal of achieving superior state-of-the-art (SOTA) performance. Publish research findings in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc. A Master's degree in Computer Science or a related field is required; a PhD in Machine Learning, NLP, Computer Vision, or a closely related discipline is preferred, along with a strong track record of AI research and publications in top-tier conferences. Proven experience running large-scale reinforcement learning experiments in multimodal and vision-centric systems, including online RL settings, with demonstrated impact on domain-specific decision-making and measurable improvements in policy performance. Deep understanding of reinforcement learning algorithms and optimization methods applied to vision and multimodal learning problems, with a focus on improving policy stability, exploration, and sample efficiency in complex, high-dimensional environments involving images, video, and other modalities. Strong proficiency in PyTorch and deep learning frameworks for vision and multimodal AI, with hands-on experience building end-to-end RL pipelines covering simulation, training, evaluation, and deployment in production-grade systems. Demonstrated ability to apply empirical research to solve core RL challenges in multimodal and vision tasks, such as sample inefficiency, exploration-exploitation tradeoffs, and training instability, along with experience designing robust evaluation frameworks and iterating on algorithmic improvements to advance agent performance. Proven track record of research publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Find more English Speaking Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
Upscale
Bangalore, Karnataka
Type
full_time · Engineering Jobs
JobiVerse estimate
₹7.3–₹14 LPA
Why join Upscale, Inc. Upscale, Inc., is building the high-performance infrastructure powering the next generation of artificial intelligence. Backed by over $500M in funding and rapid global adoption, we are scaling systems designed for the world’s most demanding AI workloads. We focus on first-principles engineering across silicon, systems, and networking—where performance, scale, and execution are critical. Our team is talent-dense and high-performing. We value ownership, technical rigor, an…
Source: Adzuna · Updated 31 Oct 2026
Tether Operations Limited
Remote job
Type
Experienced · fulltime permanent · Engineering · Remote
JobiVerse estimate
₹6.5–₹12.5 LPA
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Find Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
Tether Operations Limited
Remote job
Type
Experienced · fulltime permanent · Engineering · Remote
JobiVerse estimate
₹6.5–₹12.5 LPA
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Find Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
IDFC FIRST Bank
Navi Mumbai, Maharashtra
Type
full_time · Sales Jobs
JobiVerse estimate
₹5–₹10.1 LPA
Job Requirements About the Role The Associate Manager – Acquisition (Current Account) is responsible for acquiring new-to-bank (NTB) current account customers for a designated branch. This role involves direct customer interaction, understanding banking needs, and offering tailored solutions. The incumbent will also support the Sales Manager in catchment mapping, gathering customer feedback, and identifying potential business opportunities. The role is critical in driving client acquisition, de…
Source: Adzuna · Updated 31 Oct 2026
Tether Operations Limited
Remote job
Type
Experienced · fulltime permanent · Engineering · Remote
JobiVerse estimate
₹6.5–₹12.5 LPA
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Find Jobs in United Kingdom on Arbeitnow
Source: Arbeitnow · Updated 30 Oct 2026
JobiVerse Direct: Employer-published role managed inside JobiVerse.
Partner Job: Attributed listing that opens on its original source.
Trust Score: Listing quality signal, not an employer guarantee.
Salary Estimate: Indicative market range, not an offered salary.
Track Application: Save and monitor an external application in JobiVerse.
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