258 Tokenization Jobs - Page 3

Job Type: Full Time Experience: 1 Years to 2 Years Type: Virtual Hiring Last Date: 30-June-2025 Posted on: 18-June-2025 Education: BE/B.Tech,MCA,ME/M.Tech ADVERTISEMENT No. 02 Data Scientist/ AI Engineer / 2 Posts Age: 25 to 35 years Qualification Mandatory: Full Time B.E./B. Tech – First class (minimum of 60% marks) or equivalent or M.E./M. Tech/ MCA in Computer Science/ IT/ Data Science/ Machine Learning and AI. Professional / Preferred Qualification: Certification in Data Science/ AI/ ML/ Natural Language Processing/ Web Crawling and Neural Networks. Experience Essential: 1. Minimum 03 years of (post basic educational qualification) experience in related field, out of which: 2+ years experience with programming languages frequently used in data science (R/ Python). 2+ years Experience in model development, model validation or related field. 2+ years experience in data analytics. 2+ years experience in Relational Database or any NoSQL database including Graph databases Experience in cloud-based application/ service development. Experience in natural language processing, Web Crawling and Neural Networks. Experience in projects with Machine learning/ Artificial Intelligence technologies. Excellent communication skills and ability to work as part of a multicultural product development team. End-to-end experience from data extraction to modelling and its validation. Experience of working in a project environment as a developer. Preference will be given to candidates with experience in financial sector/ banks/ NBFCs/ Insurance/ Investment firms. Mandatory Skill Set: 1. Technical expertise regarding data models/ database design development, data mining and segmentation techniques. Expertise in Machine Learning technologies. Expertise in testing & validation of quality and accuracy of AI models. Expertise in developing models using structured, semi-structured and unstructured data. Expertise in Analytical Databases like Vertica DB or similar platforms. Data Modelling and Data Intelligence/ Data Cataloguing skills with tools like Alation. SQL (DDL/ DML/ DQL). Desirable Qualities 1. Good understanding of Data Model and types of dimension modelling. 2. Experience in Conversational AI and dialogue systems. 3. Strong understanding of explainable and Responsible/ Ethical AI framework. 4. Understand Data protection techniques like encryption, data masking and tokenization to safeguard sensitive data in transit and at rest. 5. Experience in designing secure solutions architecture for Cloud platforms (private/ public/ Hybrid). 6. Experience with tools like Nifi, HBase, Spark, pig, storm, flume, etc. 7. Experience in BI tools. 8. Expertise in MS Excel data analytics. 9. Expertise in usage and deployment of LLMs Key Responsibilities: 1. Be self-motivated, pro-active, and demonstrate an exceptional drive towards service delivery. 2. Identify valuable data sources and automate collection/ collation processes. 3. Undertake preprocessing of structured and unstructured data. 4. Analyze information to discover trends and patterns. Use AI/ ML techniques to improve the quality of data or product offerings. 6. Find patterns and trends in datasets to uncover insights. 7. Create algorithms and data models to forecast outcomes. 8. Combine models through ensemble modelling. Data Scientist-cum-BI Developer /1 Post Age 23 to 30 years Qualification Mandatory: Full Time B.E./B. Tech – First class (minimum of 60% marks) or equivalent or M.E./M. Tech/ MCA in Computer Science/ IT/ Data Science/ Machine Learning and AI. Professional/ preferred qualification: Certification/ Assignments/ Projects in Data Science/ AI/ ML/ Natural Language Processing/ Web Crawling and Neural Networks. Experience Essential: 1. Minimum 01 year of (post basic educational qualification) working experience on assignments/ projects/ jobs related to ML/ AI. 2. Experience in projects with Machine learning/ Artificial Intelligence technologies. 3. Excellent communication skills and ability to work as part of a multicultural product development team. 4. End-to-end experience from data extraction to modelling and its validation. 5. Experience of working in a project environment as a developer. 6. Preference will be given to candidates with experience in financial sector/ banks/ NBFCs/ Insurance/ Investment firms. Mandatory Skill Set: 1. Technical expertise regarding data models/ database design development, data mining and segmentation techniques. Expertise in Machine Learning technologies. Expertise in testing & validation of quality and accuracy of AI models. Expertise in developing models using structured, semi-structured and unstructured data. Expertise in Analytical Databases like Vertica DB or similar platforms. Data Modelling and Data Intelligence/ Data Cataloguing skills with tools like Alation. SQL (DDL / DML/ DQL). Desired Skill Set: 1. Good understanding of Data Model and types of dimension modelling. 2. Experience in Conversational AI and dialogue systems. 3. Strong understanding of explainable and Responsible/ Ethical AI framework. 4. Understand Data protection techniques like encryption, data masking and tokenization to safeguard sensitive data in transit and at rest. 5. Experience in designing secure solutions architecture for Cloud platforms (private/ public/ Hybrid). 6. Experience with tools like Nifi, HBase, Spark, pig, storm, flume, etc. 7. Experience in BI tools. 8. Expertise in MS Excel data analytics. 9. Expertise in usage and deployment of LLMs Key Responsibilities 1. Be self-motivated, pro-active, and demonstrate an exceptional drive towards service delivery. 2. Identify valuable data sources and automate collection/ collation processes. 3. Undertake preprocessing of structured and unstructured data. Analyze information to discover trends and patterns. 5. Use AI/ ML techniques to improve the quality of data or product offerings. 6. Find patterns and trends in datasets to uncover insights. 7. Create algorithms and data models to forecast outcomes. 8. Combine models through ensemble modelling. Candidates can apply only ON-LINE on 16th June 2025 to 30 June 2025. Note: This is an aggregated job, sharing with a motive to intimate relevant opportunities with job seekers. Hireclap is not responsible / authorized for this recruitment process. Click Here For Job Details & Apply Online

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Want to be a part of start-up environment within Amazon to design and build a new Fintech Payments product right from scratch? Want to enable hundreds of millions of Amazon customers to shop on Amazon using next generation credit products? Want to be a part of the team that will enable you to deliver products handling highly sensitive customer data, at high traffic and minimum latency while handling cross-region calls if required? Want to be a part of the team that will enable you to learn latest technologies and skills relevant in the software development industry? Amazon India Payments team is looking for software developers who are passionate to design and build the next generation Payments product from the ground up. Once built this highly reliable and scalable product will provide a new payment gateway to hundreds of millions of Amazon India customers. The team will require learning and using latest AWS technologies including: AWS Dacia, AWS Kinesis, Lambda, SNS, SQS, Server side encryption on DynamoDB using client managed keys, API Gateways, AWS VPC, AWS NLB, Cloud trail, Elastic search, etc. Additionally the team also provide opportunities to learn and work on Machine learning, interacting and influencing Amazon third party partners like Banks (SBI, HDFC, etc.), and PAs like PayU, BillDesk etc. The platform will be designed to support other emerging economies having similar requirements and the role provides a huge opportunity for the developers to build a strong portfolio of patents for Amazon. Developers in the team need to have a strong understanding of computer fundamentals and preferably experience in building large scale distributed systems. Key job responsibilities Key Responsibilities include:- - Ability to code right solutions starting with broadly defined problems, - Understand basic Algorithm fundamentals - Development of code in object oriented languages like C++ and java and build large scale robust distributed systems A day in the life Why join us? 1. Innovation: We are working on key end-customer facing innovations like Issuer Tokenization (First in ecosystem), OTP reader and auto submit, CVV less transaction, OTP less - Biometric authentication, best-in-industry Processing latency, unified recurring payments selection & processing, etc. The ambiguity and complexity of these areas provide endless opportunities to innovate on behalf of our customers. 2. Learning: We work on a very diverse problem space ranging from client-side innovations to fault tolerant Tier1 distributed systems to working with various industry partners. It involves discussion with multiple partners in payment ecosystem like processors, acquirers, networks like Visa/Mastercard/RuPay/AMEX/Diners and Issuers, which helps to understand end to end functioning of payment industry. We encourage and facilitate rotation of engineers in the team across these areas for multifaceted growth. 3. Growth: We have multiple critical initiatives in pipeline for 2025 like Issuer tokenization (first in ecosystem), Device tokenization (tap N Pay), Native OTP (In line experience to host OTP page), BII In-House OTP Reader solution, Building Biometric based Authentication Solution, Device Tokenization including Tap n Pay, BII Real Time Monitoring Platform (Realtime dashboards) leveraged across other regions etc. We are looking for an experienced engineer to join us and lead these ambitious projects. We have multiple Sr SDEs and PEs working and overseeing projects in this space to nurture and guide other engineers. The managers in our team collaborate with each team member on planning and tracking career growth via goal setting, frequent career connects, individual mentors and proactive goal/work summary assessments. 4. Fun: We try to find avenues to have fun with teammates while working hard and making history!! About the team IN Payments - Cards & Netbanking team's vision is to provide a best-in-class, intuitive and seamless payment and acceptance experience to all merchants. Our mission is to reduce friction from payments by minimizing steps/clicks, provide multiple connectivity pipes to reduce latency/COP and provide reusable solutions for tokenization, authentication across marketplaces and to external merchants. Overall the Mission is to make Cards Payments simple, secure, reliable and most rewarding for every user in India. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. At American Express our Global Merchant and Network Services Technology (GMNST) team relies increasingly on the deep expertise and experience of a core team of subject matter experts in payments technology. Our Solutions Architects have both deep technical and strategic business knowledge. But they’re of one mind about using their experience, expertise and vision to drive better business outcomes. We value deep and broad knowledge of this domain in which we excel, provide solutions and consultancy to our product teams, and be great collaborators and communicators. How will you make an impact in this role? If you have the talent and desire to drive innovation at a rapid pace, with hands-on experience in areas of real time, high availability, and highly scalable application development, join our Solution Architecture team to help architect initiatives across the department using the latest computing techniques. We are looking for an enthusiastic, driven, and forward-thinking Staff Architect to join our mission and lead a small team of architects working on a variety of payments initiatives. Key Accounts Serve as forward thinking leader within the GMNST Solution Architecture leadership team, actively participating in enterprise-wide strategic discussions, inspiring change, and helping to drive vital enhancements. Lead a team of Solution Architects who drive the technology vision, architecture and design for multiple products, and software utilities across our platforms, ensuring they meet the evolving needs of American Express, our merchants and our Global Network Partners. Introduce enterprise architectural paradigms and solutions into the portfolio. Drive both high level and detailed design and conduct design reviews Communicate to senior leaders regarding strategy direction and changes. Mentor engineers and solution architects to ensure technology complexities are understood very clearly to implement solutions expeditiously with high quality. Minimum Qualifications 12+ years of experience in software development in a complex environment and/or comparable experience. Subject Matter Expertise in Card Payments, including Authorization, Clearing and Settlement, Payment Tokenization and Digital Wallets Knowledge of payment industry standards, including: ISO 8583, EMV 3D Secure and PCI DSS In-depth knowledge of multiple of the following: Java, Go, REST APIs, Kafka, Cassandra, PostgreSQL, Caches (Elastic/Redis), Public and Private Cloud infrastructure. Extensive experience in designing and implementing large scale platforms with high resiliency, availability, and reliability. Strong experience in applications with high throughput and performance Strong written, verbal communications, presentation skills, leadership, problem solving and analytical skills. Proven collaboration skills along with the ability to influence without authority. High degree of technical expertise related to the core components of the tech stack. Expertise in building highly available, fault-tolerant, scalable solutions that perform at a global enterprise scale. Bachelor’s degree in Computer Science, Computer Science Engineering, or related field required; Advanced Degree preferred.

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. Job requirements: 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). 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 CPU and 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.

Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking) Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership For further information about Nomura, visit nomura,, Nomura Services, India supports the groups global businesses With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the groups global operations, At Nomura, creating an inclusive workplace is a priority Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards, Responsibilities: Implement and support data masking, encryption, and tokenization strategies using Thales Cipher Trust Data Security Platform, Collaborate with application owners and infrastructure teams to identify data protection needs and design integration approaches, Develop and maintain policies, templates, and security rules for protecting sensitive data across databases, filesystems, and cloud platforms, Manage Cipher Trust Manager, DSM (Data Security Manager), CTE (Cipher Trust Transparent Encryption), DPM (Data Protection on Demand), and TDP (Tokenization), Perform integration of Thales DPoD with SaaS platforms, cloud-native applications, and structured databases, Support audits and ensure alignment with regulatory compliance (e-g , GDPR, RBI, PCI-DSS), Participate in data discovery and classification exercises in collaboration with other platform leads (e-g , BigID, MIP), Monitor operational health, perform troubleshooting, and ensure availability and integrity of the deployed controls, Generate and deliver technical reports, incident analysis, and improvement plans to leadership and compliance teams, Train and support internal teams for secure adoption of obfuscation and tokenization solutions, Knowledge, Skill, Experience Required: Required: 810 years of experience in Information Security or Data Protection, 3+ years of hands-on experience with Thales Cipher Trust Suite or similar tools (e-g , Vormetric, Voltage), Strong understanding of encryption key lifecycle management, tokenization, and data masking strategies, Experience integrating obfuscation tools into databases (Oracle, MSSQL, MySQL) and enterprise applications, Good scripting and automation skills (e-g , Python, Shell, Ansible) preferred, Familiarity with cloud security concepts and integration of obfuscation solutions with AWS, Azure, or GCP, Working knowledge of data discovery tools like BigID, and classification tools like Microsoft Purview (MIP) is a plus, Understanding of compliance drivers such as GDPR, HIPAA, SOX, and RBI regulations, Beneficial: Thales Certified Engineer / Architect CipherTrust CISSP, CISA, CDPSE, or CIPT will be a bonus Personal Characteristics: Strong problem-solving and analytical mindset, Ability to manage and prioritize tasks in a fast-paced environment, Clear communicator with technical and non-technical stakeholders, Proactive in identifying security gaps and proposing solutions, Detail-oriented, organized, and documentation-focused, Strong ethical standards and a passion for data privacy, We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carers responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age, *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates,

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level About The Role We’re seeking an experienced and forward-thinking Lead AI Engineer to head the development of cutting-edge AI applications leveraging large language models (LLMs) and generative AI techniques. In this high-impact role, you will guide the architecture, deployment, and optimization of AI systems that power real-world, intelligent applications. You’ll be at the intersection of research and engineering, leading a team of top-tier AI engineers while shaping the future of AI capabilities within the organization. What You’ll Do Architect AI Solutions Design and lead the development of end-to-end AI systems that leverage LLMs, retrieval-augmented generation (RAG), and autonomous agent frameworks. Model Integration and Optimization Work hands-on with both open-source (Llama, Mistral, Falcon, etc.) and proprietary models (GPT-4, Claude, Gemini), fine-tuning them for specialized applications using proprietary data. Agentic Systems & RAG Build intelligent agents capable of reasoning, planning, and performing multi-step tasks using agentic architectures and RAG pipelines with vector databases like FAISS or Weaviate. Production-Grade Engineering Oversee scalable deployment, versioning, and monitoring of AI models in production using modern MLOps practices and cloud-native platforms (AWS, GCP, Azure). Cross-functional Collaboration Partner with data scientists, product managers, and software engineers to transform complex problems into elegant AI-driven products. AI Team Leadership Mentor a team of engineers, drive technical direction, and manage project priorities, sprint planning, and roadmap execution. Innovation & Research Stay ahead of the curve by tracking advancements in the AI/LLM space. Promote a culture of experimentation, rapid prototyping, and responsible AI. Ethics & Evaluation Implement best practices for model interpretability, bias mitigation, and responsible deployment of AI systems. Experience Must-Have Qualifications 5+ years of hands-on experience in AI/ML engineering with a primary focus on NLP and LLMs. Proven experience in designing and deploying production-grade AI systems. Technical Skills Strong command of Python and frameworks like PyTorch , TensorFlow , LangChain , and LlamaIndex . Solid knowledge of transformer architectures , embeddings, fine-tuning techniques, and tokenization. Experience integrating with vector databases (FAISS, Pinecone, Weaviate). Proficiency in designing APIs and working with distributed systems . Familiarity with MLOps , containerization (Docker), and orchestration tools (Kubernetes). Leadership Experience managing engineering teams and projects, with a track record of shipping successful AI solutions. Cloud & Deployment Deep experience with deploying AI systems on AWS , GCP , or Azure , and optimizing workloads for cost and performance. Nice-to-Have Experience working with multi-modal AI models (text, image, video, audio). Knowledge of RLHF (Reinforcement Learning from Human Feedback) methodologies. Contributions to open-source AI projects or peer-reviewed research. Prior experience at a startup or AI research lab . Show more Show less

Job Summary The role will be responsible for handling the Project Delivery for the Cards and Payment domain. Will be responsible for developing project plans, define project scope, tracking and monitoring the projects from inception to closure, must adhere to groups standards and controls for successful delivery. Ability to Identifying and managing risks, including developing contingency plans to mitigate potential issues. Knowledge on card issuing and transaction acquiring processing and standards. Knowledge on ISO8583 messaging standard protocols. Will be responsible for developing solutions, stake holder management, vendor and financial management, developing project costs, and delivering the developed solutions. Ability to Identifying and managing risks, including developing contingency plans to mitigate potential issues. Knowledge on card issuing and transaction acquiring processing and standards. Knowledge on ISO8583 messaging standard protocols. Hand on experience with VISA, MasterCard Card, UPI and other national card schemes Issuing & Acquiring, Scheme compliance requirement. Desirable to have knowledge on national schemes and processor integrations. Knowledge about API’s (SOAP, JSON, REST..ETC) and Web Service Integration. Knowledge about Back Office integration. Knowledge about HSM protocols and configuration, Knowledge about encryption Keys/Cryptography both symmetric and asymmetric keys, 3DES, AES, SM4, SHA. Familiarity with EMV technologies and standards, and PCI DSS and PA DSS standards. Familiarity with Contact and Contactless technologies, Familiarity with 3DS and Tokenization standards. Experience with an EFT transaction switching or on-line banking environment. Hands-on experience with automated test tools and simulators. Experience on Google Pay/Samsung Pay/Apple Pay Wallets and QR Code and Emerging payments will be an added Advantage. Strong design and programming knowledge on CICS, COBOL, JCL, VSAM, MVS Knowledge of end-to-end systems development life cycles (i.e., waterfall, Agile and other modern approaches to software development) Excellent verbal and written communication skills to technical and non-technical audiences of various levels in the organization Willingly shares relevant technical and/or industry knowledge and expertise to other resources Excellent problem-solving, team, and time management skills. Resourceful and proactive in gathering information and sharing ideas. Experience in banking or financial services industry. Working experience in Cloud and Digital transformation projects is an advantage. Good knowledge skill on open banking is a plus. Ability to review the requirement, impact analysis, gap analysis, high level design, cost estimation, propose timeline, obtain project approval, and draft solution architecture/function spec/technical spec document. Be an excellent leader, Subject matter expert on the technical and functional knowledge Good team collaboration, relationships within & outside POD to all levels of the organization Strong influencing, conflict resolution & negotiation skills. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Serve as a Director of the Board Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Other Responsibilities Embed Here for good and Group’s brand and values in team Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures Multiple functions (double hats) Skills And Experience Knowledge of Credit Card Issuance/Management, Digital Channels interface, Encryption, HSM and ISO8583 messaging standards Familiarity with EMV Contact/Contactless, VISA and MasterCard Card Issuing & Acquiring, Scheme compliance requirements Experience with an EFT transaction switching and processing. Familiarity on PCI DSS and PA DSS compliance requirements Experience on Switch integration with VISA/Mastercard is mandatory. Others such as UPI, JCB and National switches. Experience on Google Pay/Samsung Pay/Apple Pay Wallets and QR Code and Emerging payments will be a added Advantage Experience in Web Service integration and API’s Knowledge of end-to-end systems development life cycles (i.e., waterfall, Agile and other modern approaches to software development) Excellent in preparing the Solution Architecture document, Functional and technical spec Excellent problem-solving, team, and time management skills. Experience in Programming Languages and other emerging technologies Qualifications B TECH or BE or MBA grade in Computer Science/ Information Systems or related IT Area; 6 to 10 Years About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Risk Analyst, Technology Regulatory Relations and Market Compliance Overview The Technology Regulatory Relations and Market Compliance (RRMC) organization is a business enabler and industry leader of technology and security risk management practices, supported by a multi-disciplinary team of top security, technology, and risk professionals. Our mission is to exceed stakeholder expectations by providing enhanced visibility and proactive management of technology risks and ensuring strong security and sound operational environment. The team is responsible for working with, and demonstrating to, our stakeholders (e.g., regulators, customers, Mastercard businesses) how Mastercard complies with our security and technology promises, commitments, and obligations. As the Asia Pacific region is gaining much scrutiny across the regulators, a strong risk management program is required to meet new and existing obligations, including audits of security processes and controls, tokenization practices and data localization compliance. Risk Management Framework/Governance Assist in preparation and maintenance of a consolidated control framework Support preparation of a centralized inventory of security and technology risk management requirements and assurance expectations Risk Management Guidance/Direction Support business owners in analysis of business and functional requirements resulting from regulation and customer contracts; and help identify technology and security risk controls Help assess impact of business, market and regulatory landscape changes on controls and practices Customer Assurance and Audit Support Support customer and regulatory examinations; provide accurate information, related documentation and evidence for the purpose of the audit request to demonstrate how Mastercard satisfies obligations and commitments Assist in completing customer and regulatory inquiries and requests for information Prepare periodic customer and regulator meetings and reporting Perform compliance monitoring and pre audit readiness reviews Collection, sorting and maintaining audit evidence repository and tracking open items to closure Assist with certification efforts (e.g., SOC, ISO, PCI) Assist in reviewing reports of related parties and review System Audit Reports (SARs) and System Audit Questionnaires (SAQs) to track ecosystem compliance Experience Have knowledge of relevant regulations (e.g., payment and settlement systems, tokenization, Data localization) Have a strong understanding of technology and cybersecurity risk management practices. Experience in handling regulatory and customer audits, conducting assessments and good understanding of governance, risk and compliance practices Be seen as a trusted advisor who understands business processes and can provide security consultation and advisory Possess excellent communication and people management skills and stakeholder management experience Ability to navigate around ambiguities and be culturally aware, sensitive and able to collaborate with cross-regional teams Be a team player with strong business and operations focus Knowledge of Risk and Control Framework standards such as NIST, ISO, PCI-DDS, SOC Knowledge of laws, regulations, policies, and ethics as they relate to cybersecurity and IT management (e.g., GDPR, FBA, CBA, PFMI, etc.) Knowledge of Mastercard products and technology, security and other risk management programs and practices desired, a plus but not required. Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-211366 Show more Show less

Join our AI team as a Generative AI Engineer! Work on LLMs, prompt engineering, and model fine-tuning. Ideal for freshers or those with up to 2 years of experience in Python, ML, and deep learning. Passion for AI is a must!

Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? Train, fine-tune, and deploy Large Language Models (LLMs) to solve real-world problems effectively Design, implement, and optimize AI/ML pipelines to support model development, evaluation, and deployment Collaborate with Architect, software engineers, and product teams to integrate AI solutions into applications Ensure model performance, scalability, and efficiency through continuous experimentation and improvements Work on LLM optimization techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, etc Manage and automate the infrastructure necessary for AI/ML workloads while keeping the focus on model development Work with DevOps teams to ensure smooth deployment and monitoring of AI models in production Stay updated on the latest advancements in AI, LLMs, and deep learning to drive innovation What do you bring to the table? Strong experience in training, fine-tuning, and deploying LLMs using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers Hands-on experience in developing and optimizing AI/ML pipelines, from data preprocessing to model inference Solid programming skills in Python and familiarity with libraries like NumPy, Pandas, and Scikit-learn Strong understanding of tokenization, embeddings, and prompt engineering for LLM-based applications Hands-on experience in building and optimizing RAG pipelines using vector databases (FAISS, Pinecone, Weaviate, or ChromaDB) Experience with cloud-based AI infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes) Experience in model monitoring, A/B testing, and performance optimization in a production environment Familiarity with MLOps best practices and tools (Kubeflow, MLflow, or similar) Ability to balance hands-on AI development with necessary infrastructure management Strong problem-solving skills, teamwork, and a passion for building AI-driven solutions Show more Show less

Job description Job Title: Tech Lead (AI/ML) – Machine Learning & Generative AI Location: Nagpur (Hybrid / On-site) Experience: 8–15 years Employment Type: Full-time Job Summary: We are seeking a highly experienced Python Developer with a strong background in traditional Machine Learning and growing proficiency in Generative AI to join our AI Engineering team. This role is ideal for professionals who have delivered scalable ML solutions and are now expanding into LLM-based architectures, prompt engineering, and GenAI productization. You’ll be working at the forefront of applied AI, driving both model performance and business impact across diverse use cases. Key Responsibilities: Design and develop ML-powered solutions for use cases in classification, regression, recommendation, and NLP. Build and operationalize GenAI solutions, including fine-tuning, prompt design, and RAG implementations using models such as GPT, LLaMA, Claude, or Gemini. Develop and maintain FastAPI-based services that expose AI models through secure, scalable APIs. Lead data modeling, transformation, and end-to-end ML pipelines, from feature engineering to deployment. Integrate with relational (MySQL) and vector databases (e.g., ChromaDB, FAISS, Weaviate) to support semantic search, embedding stores, and LLM contexts. Mentor junior team members and review code, models, and system designs for robustness and maintainability. Collaborate with product, data science, and infrastructure teams to translate business needs into AI capabilities. Optimize model and API performance, ensuring high availability, security, and scalability in production environments. Core Skills & Experience: Strong Python programming skills with 5+ years of applied ML/AI experience. Demonstrated experience building and deploying models using TensorFlow, PyTorch, scikit-learn, or similar libraries. Practical knowledge of LLMs and GenAI frameworks, including Hugging Face, OpenAI, or custom transformer stacks. Proficient in REST API design using FastAPI and securing APIs in production environments. Deep understanding of MySQL (query performance, schema design, transactions). Hands-on with vector databases and embeddings for search, retrieval, and recommendation systems. Strong foundation in software engineering practices: version control (Git), testing, CI/CD. Preferred/Bonus Experience: Deployment of AI solutions on cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools (MLflow, Airflow, DVC, SageMaker, Vertex AI). Experience with Docker, Kubernetes, and container orchestration. Understanding of prompt engineering, tokenization, LangChain, or multi-agent orchestration frameworks. Exposure to enterprise-grade AI applications in BFSI, healthcare, or regulated industries is a plus. What We Offer: Opportunity to work on a cutting-edge AI stack integrating both classical ML and advanced GenAI. High autonomy and influence in architecting real-world AI solutions. A dynamic and collaborative environment focused on continuous learning and innovation. Show more Show less

Location: Bangalore, Karnataka Factspan Overview: Factspan is a pure play analytics organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Job Description As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail client—enabling consistency, modularity, observability, and readiness for GenAI-driven innovation. You’ll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI workloads. Responsibilities: Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or open- source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in- context learning methods. Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. Mentor engineering teams in code best practices, versioning, and LLM lifecycle maintenance. 2nd Floor, South Block, Vaishnavi Tech Park, Ambalipura, Sarjapur Marathahalli Rd, Bengaluru, Karnataka 560102 info@factspan.com Key Skills: Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and model- serving platforms. Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization Experience managing compute, memory, and storage requirements of LLMs across GCP, Azure, or AWS environments Qualifications & Experience: 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. Clear communicator who collaborates well with business, data science, and DevOps teams. Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. Curious and future-facing—always exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with ample number of opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Regular activities like Fun-Fridays, Sports tournaments, Trekking and you can suggest few more after joining us 2nd Floor, South Block, Vaishnavi Tech Park, Ambalipura, Sarjapur Marathahalli Rd, Bengaluru, Karnataka 560102 info@factspan.com

Position Overview Job Title: Senior Engineer, AVP Location: Pune, India Role Description We are seeking a Data Security Engineer to design, implement and manage security measures that protect sensitive data across our organization. This role focusses on the execution and delivery of Data Security solutions, focusing on configuration, engineering, and integration within a complex enterprise environment. While the role operates within Cybersecurity the person will collaborate with IT, Risk Management, and Business Units on a case-by-case basis, delving Data Loss prevention solutions. The ideal candidate understands and manages the existing tool stack within a complex environment, navigates through technical integration challenges and supports the transition from legacy solutions to new solutions within the pillar and across different areas of the bank. This role will work on specific tools like Symantec DLP, Zscaler but require the flexibility to evaluate and integrate new solutions like PaloAlto, Fortinet, Microsoft Purview and capabilities in existing cloud security solutions like Azure/GCP. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Policy Development and Implementation: Design and implement data loss prevention policies, standards, and procedures to protect sensitive data from unauthorized access and disclosure. Risk Assessment: Conduct regular assessments of our implementation to identify vulnerabilities and potential threats to the organization's data. Develop strategies to mitigate identified risks. DLP Solutions: Evaluate, deploy, and manage DLP solutions and technologies. Ensure that these tools are effectively integrated and configured to protect sensitive data across the organization. Monitoring and Analysis: Monitor data movement and usage to detect and respond to potential data breaches or policy violations. Analyse incidents to identify root causes and develop corrective actions. Collaboration: Work with IT, legal, and business teams to ensure that DLP measures align with organizational goals and regulatory requirements. Provide guidance and support to stakeholders on data protection issues. Design and Implement data security frameworks, including encryption, tokenization and anonymization techniques within a hybrid environment Implement cloud-native security controls (e.g., CASB, CSPM, DSPM) to protect data in SaaS, IaaS, and PaaS environments. Implement Digital Rights Management, encryption and tokenization strategies and solutions to protect data in hybrid environments and prevent unauthorized access and disclosure. Deploy and manage data discovery & classification tools to identify sensitive data across structured and unstructured sources. Implement automated classification and labeling strategies for compliance and risk reduction. Your Skills And Experience Technical Expertise 5+ years of hands-on experience in Data Security, Information Protection, or Cloud Security. Strong expertise in delivering Data Security platforms (Symantec, Netskope, Zscaler, PaloAlto, Fortinet, etc.). Knowledge of Cloud Service Provisioning and experience with Cloud Security (AWS, Azure, GCP) and SaaS data protection solutions. Experience with Cloud Security (CASB), SaaS Security Posture Management (SSPM), Data Security Posture Management (DSPM). Proficiency in network security, endpoint protection, and identity & access management (IAM). Scripting knowledge (Python, PowerShell, APIs) for security automation are a plus. Hands-on experience with AI/ML and data security related remediations are a plus. Soft Skills & Collaboration Strong problem-solving and analytical skills to assess security threats and data exposure risks. Ability to work cross-functionally with Security, IT, and Risk teams. Effective written and verbal communication skills, especially when documenting security configurations and investigations. Professional certifications such as CISSP, CISM, CCSP, GIAC (GCIH, GCFA), or CEH. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Company Description Monk Outsourcing is a digital marketing service provider company based in Delhi, India. We offer staffing solutions for US-based companies, software development, web development, content management solutions, and creative design services. Our team of experts works with modern technologies and tools to deliver web-based projects from concept to implementation. We are looking for a talented AI/ML Engineer to join our dynamic team and contribute to our exciting projects involving large language models (LLMs). *Job Overview:* As an AI/ML Engineer specializing in generative AI applications, you will be responsible for developing and optimizing the entire machine learning pipeline. This includes data preprocessing, model training, fine-tuning, and deployment. You will work closely with data scientists, software engineers, and product managers to create efficient and scalable LLM models that meet our enterprise clients' needs. *Key Responsibilities:* • Design, implement, and maintain end-to-end machine learning pipelines for generative AI applications. • Develop and fine-tune large language models (LLMs) to meet specific project requirements. • Implement efficient data preprocessing and augmentation techniques to enhance model performance. • Collaborate with cross-functional teams to define project requirements and deliver AI solutions that align with business objectives. • Conduct experiments to evaluate model performance, using metrics and validation techniques to ensure high-quality results. • Optimize model inference and deployment for scalability and efficiency in production environments. • Stay updated with the latest advancements in AI/ML research and incorporate relevant innovations into our projects. • Provide technical guidance and mentorship to junior team members. *Required Skills and Qualifications:* • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. • 3-5 years of experience in machine learning, with a focus on generative AI and LLMs. • Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or similar. • Strong understanding of NLP concepts, including text generation, prompting, and transformer-based architectures. • Experience in building and deploying machine learning models in production environments. • Knowledge of data preprocessing techniques, including text cleaning, tokenization, and augmentation. • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for scalable model deployment. • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. *Preferred Qualifications:* • Experience with fine-tuning pre-trained LLMs such as GPT, BERT, or similar. • Familiarity with MLOps practices and tools for continuous integration and deployment (CI/CD) of ML models. • Understanding of ethical considerations and bias mitigation in AI models. • Contributions to open-source projects or publications in AI/ML conferences/journals. Show more Show less

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. We are now looking for an AI Engineer to join our IT and Security team, based from our Hyderabad, India offie. About the Role Are you passionate about the cutting edge of AI and eager to make a real impact? At Matillion, our AI Engineering team is at the forefront of integrating intelligent solutions into every corner of our business. We're on a mission to transform internal operations, automate manual processes, and empower smarter decision-making across all our teams, from Sales to Engineering. This is your chance to play a pivotal role in designing, building, and maintaining intelligent agents and AI workflows that streamline critical business processes. You'll be instrumental in enabling scalable, secure AI usage throughout the enterprise, tackling real-world challenges with innovative solutions. What you will be doing Designing and building modular, reusable AI agents using frameworks like LangChain or CrewAI. Integrating AI capabilities with essential business platforms such as Slack, Jira, and Salesforce. Orchestrating intelligent workflows that solve practical problems, from summarizing tickets to triaging sales leads. Developing and implementing innovative AI solutions that enhance efficiency and decision-making across Matillion. Playing a central role in driving the adoption and impact of AI within a dynamic, fast-paced environment. What we are looking for A strong background in Computer Science, AI/ML , or equivalent practical experience. Deep understanding of LLM internals , including transformer architecture, tokenization, and embeddings. Exceptional Python skills with experience in AI agent and workflow development (e.g., FastAPI, LangChain). Demonstrated ability to build and integrate AI agent workflows with business systems. A proactive, adaptable, and collaborative mindset , eager to learn and share knowledge in the rapidly evolving generative AI space. Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: Company Equity 27 days paid time off 12 days of Company Holiday 5 days paid volunteering leave Group Mediclaim (GMC) Enhanced parental leave policies MacBook Pro Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Experience Required: 3+ YearsLocation: Gurgaon, India About Tiamonds: Tiamonds is the world’s largest diamond marketplace, expanding its reach to include other real-world assets like gold, silver, sapphires, real estate, and financial instruments. Utilizing cutting-edge Web3 technology, Tiamonds empowers investors with freedom of ownership, offering a secure and transparent ecosystem. With a mission to redefine asset ownership, Tiamonds is paving the way for a more inclusive and accessible financial future. Role Overview: We are seeking a passionate and experienced Senior Full-Stack Developer to join our growing technology team. The ideal candidate will drive the development and integration of secure, scalable backend features and blockchain-based applications that power our next-generation financial platform . Key Responsibilities: Research & Innovation Explore and evaluate new blockchain technologies, including Ethereum, Cardano, and Solana. Conduct R&D for NFT integrations, asset tokenization, and proof-of-concept (POC) initiatives lending and borrowing. Backend & Smart Contract Development Design, build, and maintain secure smart contracts and backend services. Implement features such as token vesting (e.g., TOTO), staking, and reward models. API Development & Integration Ensure smooth integration between backend and frontend interfaces, as well as with Web3 applications, and wallets like MetaMask. Blockchain Integration & Feature Development Lead the implementation of blockchain-based features, including NFT functionalities and multi-chain support. Build smart contract-based logic for token ownership and staking mechanisms across Ethereum, Cardano, and other chains. Scalability & Optimization Cross-Functional Collaboration Requirements: Bachelor’s or Master’s in Computer Science, Software Engineering, or a related technical discipline. 3+ years of professional experience in backend development with a focus on blockchain technology. Experience with multi-chain blockchain integration and interoperability protocols. Familiarity with NFT standards such as ERC-721 and ERC-1155 , and a solid understanding of tokenomics . Strong knowledge of API security protocols, best practices, and implementation of secure authentication and authorization mechanisms. Proficient in Solidity, Web3.js, Node.js, and backend API development. Practical experience with smart contract development, deployment, and gas optimization. Strong understanding of blockchain platforms such as Ethereum, Cardano, Solana, or others. Familiarity with integrating blockchain wallets and decentralized applications (dApps). Strong interpersonal skills and ability to work in a fast-paced, collaborative environment. What We Offer: An opportunity to work at a regulated and pioneering Web3 company. A dynamic, impact-driven work environment with global exposure. Room for professional growth, learning, and leadership. Job Type: Full-time Pay: Up to ₹2,500,000.00 per year Schedule: Day shift Monday to Friday Work Location: In person

Hi All, We are hiring for a Generative AI Architect for one of our esteemed clients based in Gurgaon . Role Overview: We’re looking for an experienced Generative AI Architect to lead the design and implementation of scalable GenAI solutions for real-world applications. The ideal candidate will have a proven track record of deploying GenAI systems in production environments, handling performance optimization, data governance, model evaluation, and vector search enhancements. Key Responsibilities: Architect GenAI systems integrating LLMs, APIs, vector databases, and application layers Design scalable RAG pipelines and knowledge graph integrations Evaluate build vs. buy decisions; choose between open-source and commercial models Define reference architectures and reusable components for GenAI platforms Integrate MLOps/LLMOps for monitoring, versioning, and feedback mechanisms Technical Skills: Strong grasp of Transformer architectures , NLP pipelines, and fine-tuning techniques Hands-on with LangChain, LLamaIndex, Haystack Orchestration tools: Kubeflow, Airflow, Ray Experience with Vector DBs : Pinecone, FAISS, Weaviate, Milvus Cloud expertise in AWS, Azure, or GCP with hands-on GenAI tools Proficient in developing APIs/microservices for AI deployment Strong understanding of embeddings, tokenization, and inference tuning 📩 Interested candidates can send their profiles to: ruchi@intileo.com Please include the following details in your application: Current CTC Expected CTC Notice Period Current Location Brief note on your suitability for the role Looking forward to connecting with the right talent! #Hiring #GenerativeAI #AIArchitect #LLM #LangChain #VectorDB #AIJobs #Gurgaon #Intileo Show more Show less

Req ID: 329161 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Application Support - Payments Domain to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Act as a liaison between business, IT and QA teams to ensure alignment on requirements and technical deliverables. Interacting with functional BAs, product SMEs, QAs, engineering teams and solution architects to provide walk through of the requirements, understand technical dependencies and work with them to deliver the solutions. Provide content leadership in working with the clients in defining solutions to their business requirements. Interacting with business stakeholders for requirements gathering, analysis, documentation etc. Work with the delivery / implementation teams to provide domain inputs and to ensure delivery and implementation of the proposed solution. Interacting with the technical team to ensure that the requirements are clear and well understood. Translating business requirement document into technical specifications and analyze payment-related requirements. Oversee or participate in UAT and resolve technical issues during development and post-implementation. 6-15 years of Industry experience, having worked in Tier-1 IT organizations in BFSI domain with a focus on Payments Domain experience in Low and High Value Payments, Cross Border Payments and key regulations & associated IT impacts, affecting the Payments market, such as Single Euro Payments Area (SEPA), Instant Payments, Payment Services Directive, Open Banking etc. Required Skillset Domain Expertise: Must have in-depth solutioning experience in Banking Domain with focus on payments. Good to have the ability to read and understand regulatory changes such as SWIFT / SEPA rulebooks and understand requirements. Technical Skills: Should have the ability to understand As-is and gather requirements. Knowledge of payment system and technologies (ISO 20022, EMV, tokenization) Familiarity with Database, scripting, Microservice architecture. Analytical Skill: Proficiency in analyzing complex workflow and proposing scalable solution Experience with tools like JIRA, Confluence etc. Soft Skills: Excellent communication and stakeholder management Strong problem solving and critical thinking skills. ability to work independently and as part of team Well versed in documentation skills such as flow diagrams, procedures and manuals. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

This opportunity is with a product-based company into Fintech environment specializing in Cards & Payment Technology. Role - Subject Matter Expert Experience - 5 to 15 years NP - Immediate to 30 days Location - Pune Work Mode - 5 days WFO Budget - 18 LPA to 38 LPA Domain - Payments or Cards Primary Skills - Should have good experience in both Technical & Functional role, Java, PL/SQL, Cloud, Card Issuing. Please note - Only those candidates would be considered who have experience of working into Card Issuing. Objectives Lead advanced functional support to teams and address strategic client business needs. Serve as a trusted advisor to clients and internal stakeholders on card issuing, acquiring, switching, and digital payment ecosystems. Lead the definition of functional and technical roadmaps aligned with business goals and regulatory frameworks (e.g., PCI-DSS, EMV, ISO 8583, PSD2). Translate complex client requirements into scalable, secure, and compliant payment solutions. Guide the design of payment workflows including authorization, clearing, settlement, and dispute management. Oversee the implementation of functional specifications at a strategic level. Validate and approve key technical deliverables to ensure functional compliance. Provide expert-level guidance to development teams on transaction flows, authorization logic, fraud rules, and settlement processes. Lead end-to-end functional test strategies including UAT, regression, and certification with schemes (Visa, Mastercard, etc.) and oversee client acceptance phases. Pioneer thought leadership and innovation in electronic payment practices . Monitor emerging trends in digital payments, tokenization, real-time payments, and regulatory changes. Develop and deliver advanced training modules for internal and external stakeholders. Domain & Technical Expertise Cards & Payments Industry (Issuing, Acquiring, Switching) PowerCARD or equivalent payment platforms Functional Specification & Business Rule Design Payment Standards (ISO 8583, EMV, PCI-DSS, 3DS, etc.) Testing & Certification (UAT, Scheme Certification) Regulatory & Compliance (RBI, PSD2, GDPR) API Integration (Java, Spring boot) & Digital Payments (NFC, QR, Tokenization) Strategic Thinking & Roadmap Planning Cross-functional Collaboration & Stakeholder Management Presentation & Training Show more Show less

Job Profile : Blockchain/ Technical Lead Location: Indore (We are looking for candidates based in Indore only, as some interviews will require an in-person presence.) Job Type: Full-Time, On-site Notice: Immediate Joiner Role Overview As Blockchain/ Technical Lead, your mission will be to drive the technical vision and execution of our Web3 platforms with a strong emphasis on integrating existing solutions (e.g., FireBlocks, Bridge, Chainlink, Nium, etc.) rather than developing everything in-house. You will coordinate developers, evaluate vendors, and ensure technical alignment across all projects. Key Responsibilities • Define and lead the technical strategy and system architecture for multiple platforms • Evaluate and integrate third-party services, APIs, and blockchain tools • Oversee day-to-day technical operations and development milestones • Coordinate and communicate with external developers and technical partners • Participate in product planning, strategy meetings, and investor presentations • Ensure systems are scalable, secure, and regulatory-compliant • Supervise technical due diligence on selected Web3 and fintech service providers What We’re Looking For • Solid experience in technical leadership (Tech Lead, Solutions Architect, etc.) • Deep understanding of Web3 protocols, blockchain tools, and integration best practices • Proven success managing third-party integrations and outsourced development • Strong communication skills; fluent in English (spoken and written) • Comfortable operating in a fast-paced startup environment with shifting priorities • Experience working with tools like Fireblocks, Bridge, Plaid, Chainlink, Circle, Nium, or equivalent platforms is a plus Preferred Technical Familiarity - Smart contracts, wallets, custody APIs, DeFi protocols - Integration platforms (RESTful APIs, Webhooks, OAuth) - PHP (Laravel), MySQL — for backend maintenance and integration - AWS, GCP, or similar cloud services - Frontend/backend coordination for Web3 apps (React, Node.js, etc.) - Security and compliance standards in tokenization and digital finance Your Life @Hiteshi What matters to you when you're looking for your next career challenge? What about somewhere with incredible and diverse career and development opportunities - where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust - where everyone has a voice? What about all of these? If so, then Hiteshi InfoTech should be your next career goal. Join us, not to do something better, but to do your best work ever! Benefits: At Hiteshi InfoTech we offer a range of benefits allowing every colleague to choose the best options for their professional & personal growth. These include a Transparent work environment, Work-Life Balance, Great Learning Opportunities, Health Care and all the tools, technology and support to help you become the very best you can be. Other benefits: Medical Insurance 5 days relax working Top-notch office Infrastructure/ Modern Office Facilities Maternity Leaves Team building and fun activities Experienced professional team Dynamic and friendly work environment Open and transparent communication Long term career growth opportunities Healthy snacks are always available at the office and much more. Find more about Hiteshi at: https://www.hiteshi.com Show more Show less

Job Description We are looking for an experienced Data Scientist / AI Developer with a strong foundation in classical machine learning, deep learning, natural language processing (NLP), and generative AI. You will be responsible for designing and implementing AI models, including fine-tuning large language models (LLMs), and developing innovative solutions to solve complex problems in a variety of domains. Key Responsibilities : . Develop and implement machine learning models and deep learning algorithms for various use cases. Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis. Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks. Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications. Collaborate with cross-functional teams to design AI-driven solutions that address business problems. Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation. Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies. Present findings and insights to stakeholders in a clear and actionable manner. Build and maintain end-to-end machine learning pipelines for scalable deployment. Required Skills Strong expertise in supervised and unsupervised machine learning techniques. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling. Hands-on experience with generative AI models and their practical applications. Proven ability to fine-tune large language models (LLMs) for specific tasks. Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas. Experience in handling large datasets and working with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction. Strong problem-solving skills, analytical thinking, and attention to detail. Preferred Skills Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance. Expertise in computer vision techniques, including object detection, image segmentation, and classification. Proficiency with YOLO algorithms and other state-of-the-art computer vision models. Hands-on experience in building and deploying models in real-time applications or production environments. Qualifications 3+ years of relevant experience in AI, ML, NLP, or related fields. Bachelors or Masters degree in Computer Science, Statistics, or a related discipline. (ref:hirist.tech) Show more Show less

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). 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 CPU and 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. Show more Show less

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 LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance. Responsibilities : Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs. Design, prototype, and scale innovative architectures to enhance model intelligence. Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance. Investigate, debug, and improve both model efficiency and computational performance. Contribute to the advancement of training systems to ensure seamless scalability and 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 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. Show more Show less

About: https://kerneldao.com/ Location: Remote About Kernel: At Kernel, our vision is to redefine the restaking and decentralized finance landscape by building an interconnected ecosystem that seamlessly bridges security, liquidity, and rewards. By empowering stakers, developers, and protocols, Kernel strives to be the backbone of decentralized economic security on the BNB Chain and beyond. With an unwavering commitment to innovation, we aim to capture emerging opportunities in the $100B+ market of liquid restaking, tokenized CeDeFi, and real-world assets (RWAs). Our journey has only begun, and we’re excited to share how we’ll achieve this vision with a clear and actionable roadmap. Kernel Dao is leading the restaking revolution with three key products - Kelp LRT, Kernel, and Gain. Unified by $KERNEL governance token. Our Vision: The Kernel ecosystem is built around three core pillars: Restaking Infrastructure: Offering a robust, secure, and scalable foundation for restaking across major L1 chains. Liquid Restaking Tokens (LRT): Providing flexible and composable liquid restaking solutions for Ethereum and other assets. Tokenized Yields: Bridging DeFi, CeFi, and traditional finance through innovative yield tokenization, unlocking new financial possibilities. Kernel ecosystem has already garnered $2.2B+ in TVL across its expanding ecosystem, showcasing its robust growth and value proposition. With support for high-impact tokens like BNBx, SolvBTC, SlisBNB, asBNB and more, Kernel offers unparalleled opportunities for users to maximize returns on their staked assets. Role Overview: As an Associate- Founder's Office , you will work directly with the founding team on high-impact, cross-functional initiatives that shape the strategic direction and operational execution of the company. This role is ideal for individuals who thrive in fast-paced, ambiguous environments and are excited about solving complex problems at the intersection of fintech and web3.You will serve as a trusted generalist, operator, and problem-solver—contributing across strategy, product, partnerships, investor relations, and internal operations. This is a unique opportunity to work at the highest levels of decision-making while building a deep understanding of how to scale a high-growth startup. Key Responsibilities: Work closely with the founders on mission-critical projects spanning strategy, operations, fundraising, partnerships, and product. Conduct deep-dive analyses on new business opportunities, market trends, and competitive intelligence. Lead and manage cross-functional initiatives, collaborating with internal and external stakeholders. Develop business cases, financial models, and strategic recommendations to support executive decision-making. Prepare high-quality presentations, reports, and communication materials for internal and external audiences. Drive problem-solving using first principles and structured thinking for ambiguous and complex business challenges. Monitor project progress, identify risks, and ensure timely execution of key deliverables. Support fundraising, investor relations, and ecosystem engagement activities as required. Stay up-to-date with industry trends, web3 innovations, and emerging opportunities. Qualifications: 2–4 years of experience in management consulting, investment banking, venture capital, or a similar analytical/strategic role. Prior experience in fast growing Fintech is a plus Demonstrated ability to solve complex problems using first principles and structured frameworks. Strong stakeholder management skills, with experience working with senior leadership and cross-functional teams. Excellent analytical, quantitative, and communication skills. Proven track record of a steep learning curve and adaptability in dynamic environments. Self-starter with a high degree of ownership, curiosity, and a willingness to learn. Bachelor’s degree from a top-tier institution; MBA or advanced degree is a plus. What We Offer: Opportunity to work on shaping the future of finance. Join a diverse and outstanding team of professionals from around the world. Fast-paced and intellectually stimulating environment. Exposure to cutting-edge projects at the intersection of technology and finance. Competitive compensation and meaningful upside. Flexible, remote-first work culture. Show more Show less

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 across the entire AI lifecycle by developing and implementing rigorous evaluation frameworks and benchmark methodologies for pre-training, post-training, and inference. Your work will focus on designing metrics and assessment strategies that ensure our models are highly responsive, efficient, and reliable across real-world applications. You will work on a wide spectrum of systems, from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate text, images, and audio. We expect you to have deep expertise in advanced model architectures, pre-training and post-training practices, and inference evaluation frameworks. Adopting a hands-on, research-driven approach, you will develop, test, and implement novel evaluation strategies that rigorously track key performance indicators such as accuracy, latency, throughput, and memory footprint. Your evaluations will not only benchmark model performance at each stage, from the foundational pre-training phase to targeted post-training refinements and final inference but will also provide actionable insights. A key element of this role is collaborating with cross-functional teams including product management, engineering, and operations to share your evaluation findings and integrate stakeholder feedback. You will engineer robust evaluation pipelines and performance dashboards that serve as a common reference point for all stakeholders, ensuring that the insights drive continuous improvement in model deployment strategies. The ultimate goal is to set industry-leading standards for AI model quality and reliability, delivering scalable performance and tangible value in dynamic, real-world scenarios. Responsibilities : Develop, test, and deploy integrated frameworks that rigorously assess models during pre-training, post-training, and inference. Define and track key performance indicators such as accuracy, loss metrics, latency, throughput, and memory footprint across diverse deployment scenarios. Curate high-quality evaluation datasets and design standardized benchmarks to reliably measure model quality and robustness. Ensure that these benchmarks accurately reflect improvements achieved through both pre-training and post-training processes, and drive consistency in evaluation practices. Engage with product management, engineering, data science, and operations teams to align evaluation metrics with business objectives. Present evaluation findings, actionable insights, and recommendations through comprehensive dashboards and reports that support decision-making across functions. Systematically analyze evaluation data to identify and resolve bottlenecks across the model lifecycle. Propose and implement optimizations that enhance model performance, scalability, and resource utilization on resource-constrained platforms, ensuring efficient pre-training, post-training, and inference. Conduct iterative experiments and empirical research to refine evaluation methodologies, staying abreast of emerging techniques and trends. Leverage insights to continuously enhance benchmarking practices and improve overall model reliability, ensuring that all stages of the model lifecycle deliver measurable value in real-world applications. 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). Demonstrated experience in designing and evaluating AI models at multiple stages from pre-training, post-training, and inference. You should be proficient in developing evaluation frameworks that rigorously assess accuracy, convergence, loss improvements, and overall model robustness, ensuring each stage of the AI lifecycle delivers measurable real-world value. Strong programming skills and hands-on expertise in evaluation benchmarks and frameworks are essential. Familiarity with building, automating, and scaling complex evaluation and benchmarking pipelines, and experience with performance metrics: latency, throughput, and memory footprint. Proven ability to conduct iterative experiments and empirical research that drive the continuous refinement of evaluation methodologies. You should be adept at staying abreast of emerging trends and techniques, leveraging insights to enhance benchmarking practices and model reliability. Demonstrated experience collaborating with diverse teams such as product, engineering, and operations in order to align evaluation strategies with organizational goals. You must be skilled at translating technical findings into actionable insights for stakeholders and driving process improvements across the model development lifecycle. Show more Show less