209 Tokenization Jobs - Page 6

Yext (NYSE: YEXT) is the leading digital presence platform for multi-location brands, with thousands of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a ‘Best Place to Work’ globally by industry leaders such as Built In, Fortune, and Great Place To Work®! This role will be the primary internal system admin and support contact for Zuora Billing and will bring a solid understanding of Zuora applications, as well as experience with integrating Zuora applications with other systems. You will collaborate with Product managers, Zuora internal technical resources, and Zuora support to drive optimal solutions, and best practices. This role is fully on-site in our Hyderabad, India office. What You'll Do Collaborate with stakeholders to understand project requirements and objectives related to Zuora Subscription Billing Provide front-line support with regard to all aspects of business-facing applications and troubleshooting to diagnose, isolate, and resolve issues Design, implement, and maintain configurations and customizations of Zuora applications to meet the evolving needs of the business team Serve as internal SME and provide guidance on best practices, using domain knowledge and prior experience Drive optimal solutions and demonstrate proactive initiative by identifying potential areas of improvement and proposing projects aimed at optimizing business operations Maintain proper system access for user roles ensuring compliance with the segregation of duties Responsible for the change management and release process of Zuora Billing, Maintain up-to-date knowledge of system functionality, customization, and integration What You Have 2+ years of experience with Zuora Billing administration and configuration, including 3rd party integrations in complex environments Experience supporting Zuora Billing modules: Customers, Product Catalog, Subscriptions, Billing & Invoicing, Payments and Taxes Experience working in Zuora Billing administration: User access, HTML/PDF templates, Custom fields, Notifications/email templates, data interface integrations, Workflows and Reports Knowledge of the full billing cycle, including Invoicing, Invoice Templates, Payment, and Payment Gateway configuration. Revenue Recognition, Financial Reporting, and integration into the ERP system Understand Payment Gateways, Country Specific requirements, Refund, Chargeback, Cancellation, and Network Tokenization Experience working in Zuora sandbox, including deployment across multiple environments Ability to work independently with minimal guidance as well as collaboratively with cross-functional teams Bonus Points Experience with Netsuite ERP Zuora Billing Certification Experience with Zuora Revenue a plus Experience working in Zuora APIs Experience working with Avalara or similar tax engines Perks And Benefits At Yext, we take pride in our diverse workforce and prioritize creating an engaged and connected working environment. Our ambitious mission is to transform the enterprise with AI search, and we know that to achieve that, we need a global team of innovators, visionary thought leaders, and enthusiastic collaborators passionate about making a meaningful impact in the world and contributing to an extraordinary culture. Benefits We believe that people do their best when they feel their best — and to feel their best, they must be well-informed, fuelled, and rested. To ensure our employees are at their best, we offer a wide range of benefits and perks, including: Performance-Based Compensation: We offer an attractive bonus structure and stock options for eligible positions. Comprehensive Leave Package: Our leave package includes Paid Time Off (PTO), Parental Leave, Sick Leave, Casual Leave, Bereavement Leave, National Holidays, and Floating Holidays to ensure a healthy work-life balance. Health & Wellness Offerings: We provide medical insurance with 7L coverage, including enhanced parental and outpatient department (OPD) coverage for you, your spouse, two dependent children, and two parents (as applicable and subject to eligibility requirements). Relocation Benefits: We offer relocation assistance and an allowance to eligible candidates to help ease your transition. World-Class Office & Building Amenities: Our office has a top-notch infrastructure, including gaming rooms, a plush pantry, and breakout areas. Yext is committed to building an inclusive and diverse culture where every person is seen, heard, and valued. We believe in equal employment opportunity and welcome employees and applicants of all races, colors, ethnicities, religions, creeds, national origins, ancestries, genetics, sexes, pregnancy or childbirth, sexual orientations, genders (including gender identity or nonbinary or nonconformity and/or status as a trans individual), ages, physical or mental disabilities, citizenships, marital, parental and/or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form. Show more Show less

About Position: We are looking for Cards SME with Simulator Experience. Who has experience in software delivery, is passionate about the customer journey, can influence change, and can effectively communicate with stakeholders. Role: Card Simulator Location: All PSL Location Experience: 12 to 16 Yrs Job Type: Full Time Employment What You'll Do: Act as the subject matter expert (SME) for card transaction simulations across POS, ATM, and e-commerce environments. Gather and analyze business requirements related to card transaction simulations (POS, ATM, e-commerce). Map business scenarios to simulator configurations and ISO 8583 message structures. Document card transaction lifecycles, including authorization, clearing, settlement, and reversals. Interpret and implement ISO 8583, EMV, and card scheme specifications (Visa, Mastercard, Amex, Discover, RuPay, etc.) for simulator alignment Ability to Design and Review scenarios using card simulators (e.g., Paragon, Finsim, FIME, B2, or custom tools). Lead efforts in certification testing with card networks and acquiring banks. Support certification and compliance testing by ensuring accurate simulation mapping. Analyze transaction logs, troubleshoot issues, and provide domain-level insights and to validate business rule implementation. Stay updated on industry trends, regulatory changes, and emerging technologies in card payments. Expertise You'll Bring: 10+ overall Cards & Payments domain Experience - experience in the payments domain, with a focus on card transaction systems. In-depth knowledge of ISO 8583, EMV standards, and card scheme protocols. Strong understanding of card transaction flows and ISO 8583 message formats. Experience working with card simulators (e.g., Paragon, Finsim, Paysim, Neapay, FIME, B2) or similar tools. Understanding of at least one core Acquiring platform (Base24 & Switch) or core Issuing platform (VisionPLUS, Triumph, Prime etc). Ability to translate complex technical details into clear business requirements. Experience with certification processes (e.g., Visa ADVT, Mastercard M-TIP). Familiarity with PCI DSS compliance and security best practices. Exposure to mobile payments, tokenization, and contactless technologies Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.” Show more Show less

Key Responsibilities: Zscaler Secure Internet Access: Implement, manage, and support the Zscaler Secure Internet Access platform, products, and features to ensure secure and effective internet access for both internal customers, applications, and cloud-based infrastructure. Firewall Support: Manage and support state-of-the-art NGFW layer 7 firewalls; including policy design/configuration, rule optimization, and troubleshooting. DDoS Protection: Implement and manage DDoS protection solutions with cloud scrubbing technology. Remote Access Technologies: Support and manage advanced remote access technologies to ensure secure connectivity for remote users. Incident Response: Collaborate with the Digital Perimeter Security team to respond to security incidents, ensuring swift and effective resolution. Documentation: Maintain accurate and up-to-date documentation of security products, configurations, policies, and incident response procedures. Collaboration: Work closely with other IT and security teams to ensure seamless operation and integration of security tools and practices. What We're Looking For (Minimum Qualifications): 10+ years of networking experience with included support focus that includes network infrastructure, Data Centre technologies, and Cloud compute. Network troubleshooting skills, including the use of Wireshark and other network tools with a strong focus on reducing MTTR to identify problems. SSL, HTTP/HTTPS troubleshooting via browsers (performance and errors). Knowledge of IPv4/IPv6routing, DNS, load balancing, PAC files, proxies, and other layer 2- 7 concepts. Experience with AAA systems such as LDAP, MS AD, ID tokenization (SAML/OAuth), etc. What Will Make You Stand Out (Preferred Qualifications): 10+ years of cybersecurity experience 2+ years of data loss prevention (DLP) experience. GRE and IPSec tunnel setup and troubleshooting. General firewalls and packet filtering experience and troubleshooting. DDoS support experience. Network or security certifications such as CISSP, PCSAE, PCCSE, CCNP, CCIE, etc. Experience with Zscaler Secure Internet Access platform. Familiarity with cloud security principles, support, and practices. 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. Key Responsibilities 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. Skills And Experience Knowledge of 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 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 NA 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. Recruitment Assessments Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. Visit our careers website www.sc.com/careers Show more Show less

Job Description: We are hiring an AI/ML Engineer to turn data into actionable insights through predictive models and automation. Strong understanding of machine learning algorithms and production-level deployment required. Required Skills & Qualifications: 5+ years of experience in AI/ML engineering, particularly within Azure Cloud and AI ecosystems. Strong hands-on expertise with OpenAI models, including knowledge of training, distillation, and model internals. Proficiency in Python, and experience with frameworks such as LangChain, FastAPI, or similar. Experience designing multi-threaded and concurrent systems optimized for performance and rate-limit constraints. Deep understanding of agent-based architectures, autonomous workflows, and orchestration techniques. Solid experience with PostgreSQL (PSQL) and SQL for building complex queries, performance tuning, and managing structured datasets. Familiarity with RAG, embedding-based retrieval, and vector databases. Understanding of LLM tokenization, rate limits, and optimization strategies for throughput and cost control. Responsibilities: Develop and deploy AI-driven applications leveraging Azure AI and OpenAI models. ⁠Design multi-threaded and parallel processing systems that operate efficiently within rate-limited API environments. ⁠Build intelligent agent-based AI architectures capable of dynamic reasoning and task automation. ⁠Integrate and manage PostgreSQL (PSQL) and other SQL-based systems for structured data access, transformation, and analysis. ⁠Perform data engineering tasks including data ingestion, transformation, and feature extraction for AI models. ⁠Optimize prompt workflows and token usage for LLM interaction, using tools like LangChain, FastAPI, and Azure OpenAI. ⁠Implement LLM-driven pipelines including RAG (retrieval-augmented generation), prompt chaining, and model evaluation. ⁠Collaborate with DevOps and cloud engineers to ensure secure, scalable, and efficient deployment of AI services on Azure. ⁠Contribute to improving model performance via prompt design, fine-tuning, or integration with external data sources. Show more Show less

Analah Overview Analah is a global investment platform specializing in Private Equity, Mutual Funds, PMS, AIF, Insurance, Real Estate products. We are seeking a Wealth Relationship Manager to manage relationships with distributors, family offices, and high-net-worth individuals (HNIs) by providing personalized investment strategies. Job Title: Full Stack Developer Location: Mumbai, Jaipur, Dubai Number of Position: 4 Job Type: Full-Time Reports to: Head of Department Position Overview: As a Full Stack Developer, you will be responsible for developing and maintaining Fintech, Insure Tech, other types web applications using Node.js for backend development and React.js for frontend development. You will work closely with our cross-functional team to deliver high-quality, user-friendly software solutions. Key Responsibilities Develop and maintain web applications using Node.js and React.js. Design and implement RESTful APIs and integrate with third-party services. Ensure the technical feasibility of UI/UX designs. Debug and optimize application performance. Qualifications & Skills Education: Bachelor's Degree in Computer Science, Information Technology (IT) Experience: Proven experience as a Full Stack Developer or similar role. Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model. In-depth knowledge of Node.js and frameworks available for it (e.g., Express). Thorough understanding of React.js and its core principles. Knowledge of modern authorization mechanisms, such as JSON Web Token.Excellent verbal and written communication skills. Skills: Front-End Development, HTML/CSS, JavaScript, Version Contro. Compensation & Benefits Salary Hike: Competitive based on experience and performance. ESOP: Available after 3 years, at managements discretion

Job ID: 27845 Location: Bangalore, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 8 May 2025 Job Summary The platforms form the technological backbone of a bank, focusing on supporting, managing, and optimizing the bank's internal IT infrastructure, operations, and security. They are essential for the seamless functioning of all digital and operational aspects of the bank, ensuring that services are delivered efficiently and securely. Engineering Leads are responsible for providing engineering leadership to steer platform architecture and solution in alignment to WRB architectural guidelines. The appointed individual is expected to be associated with Interaction Solution Hive covering multiple applications which offer SMS, Email and Notification Hub Capability. This is an engineering role with a broad scope, it will require them to co-create and own the technology solution and delivery within the individual WRB Hives. The role holder is expected to co-creation of the technology solution in alignment of technology road which is built in close consultation with the business, architecture and other associated teams e.g. Risk Management, Enterprise Technology, Functions, etc. Engineering Lead is expected to prioritize the needs of the squads and empower them to deliver Hive’s priorities. Key Responsibilities SOLUTION ARCHITECTURE & ENGINEERING EXCELLENCE: Design robust API-driven microservices solutions for Customer Messaging Platform catering to SMS, Push Notification and Email; ensuring scalability, security, and compliance. Define end-to-end solution architecture for Customer Messaging Platform, ensuring alignment with business and regulatory requirements. Collaborate with Hive Lead, Product Owners, and Domain Architect to translate business requirements into scalable and maintainable technology solutions. Support business in the backlog refinement and rationalization through a technical lens. Manage and mitigate technical risks in the delivery. Ensure seamless integration of digital journeys within the bank. Conduct performance optimization and implement best practices to enhance reliability and scalability. STRATEGY: Develop and execute a technology strategy that is aligned with Wealth & Retail Banking (WRB) and Technology and Operations (TTO) goal and objectives. Responsible for overseeing multiple squads and ensuring that the mission / vision of these squads align towards a common client journey. Provide thought leadership to the wider technology community (via technology papers, blogs, industry seminars, forums, etc) Responsible for executing the Hive's product vision together with the Hive Lead. Responsible for working with the Hive Lead, Engineering Leads and Architect to communicate and execute the Technology vision and roadmap for the Hive. Demonstrate ability and skills to convince business stakeholders around technology solutions. Manage and build strong relationships with key stakeholders: Hive Lead, Product Management / Product Ownership, Delivery Team, Group Process owners and Functional Partners including Risk, CFCC, HR, Finance, Legal, GIA. GOVERNANCE, SECURITY AND COMPLIANCE: Identify and implement security controls by collaborating with Security teams. Ensure adherence to regulatory compliance, risk mitigation and governance policies. Conduct Security impact assessments to mitigate potential risks throughout the delivery lifecycle. Ensure adherence to enterprise technology standards and best practices in system design and implementation. COLLABORATION AND ALIGNMENT: Work Closely with Product Owners, and Chapters to define and implement Solutions. Provide technical leadership and mentorship to development teams, ensuring high-quality software delivery. Collaborate with cross-functional teams for successful implementation and deployment of interaction solutions. Actively participate in Solution reviews and architectural governance forums. INNOVATION & CONTINUOUS IMPROVEMENT: Stay updated on emerging technologies in interactive banking space. Foster a culture of innovation by driving modernization initiatives and continuous improvement strategies. Align technical solutions with the organization long-term technology vision and business goals. Leverage automation CI/CD and Sec Devops practices to improve software development efficiency. 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. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. RISK MANAGEMENT: Creates awareness and understanding of the regulatory framework and risk environment in which the Group operates. Ensures adherence with the highest standards of ethics and compliance with relevant policies, process, and regulations. Act as the risk control owner under the Group’s risk management framework. Responsible for effective risk management across all initiatives planed for the squads. Act as the risk control owner under the Group’s risk management framework at the appropriate level. Qualifications Bachelor’s degree in technology, Computer Science, or a related field (or equivalent experience). 12+ years of experience in Technology and Solution Architecture with focus on interactive banking solution like SMS, Email and Digital Notification. Strong leadership (servant leadership) experience – willingness to lead from the front. Effective communication and stakeholder management skills Experience in start-ups / agile mindset is a good to have / experience operating highly available systems in technology companies / Financial institutions. Familiarity with 3rd party system integrations via APIs (HTTP/REST), host-to-host (file exchange by FTP), with background jobs processing of real-time, event triggered, and async automations. Advanced knowledge in Tokenization, Digital Assets, FinTech Technologies 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. www.sc.com/careers

You’ll work closely with full-stack engineers, product, and compliance teams to build robust, secure, and composable smart contracts that underpin our tokenization platform and decentralized exchange. This role is ideal for an experienced blockchain developer who understands the risks and responsibilities of writing production-level smart contracts in DeFi and regulated markets. Key Responsibilities • Architect, implement, and deploy secure, gas-efficient smart contracts on EVM-compatible chains. • Develop and maintain contract systems for token issuance, compliance, permissioned trading, and governance. • Write and maintain comprehensive test suites using Hardhat, Foundry, or equivalent frameworks. • Review, optimize, and audit smart contracts for security, performance, and reliability. • Collaborate with frontend and backend teams to define integration interfaces and transaction flows. • Contribute to CI/CD pipelines for contract deployments and versioning. • Stay up-to-date on the latest developments in the EVM ecosystem, smart contract standards (e.g., ERC-20, 1400, 3643), and DeFi security best practices. • Participate in architecture discussions, threat modelling, and protocol-level design decisions. Requirements • 3+ years of experience writing Solidity smart contracts in live, production-grade systems. • Deep understanding of Ethereum architecture, EVM internals, and decentralized application patterns. • Hands-on experience with Hardhat, Foundry, or similar smart contract development environments. • Strong familiarity with cryptographic primitives, token standards, and transaction lifecycle on-chain. • Proficient in smart contract testing, mocking, and code coverage strategies. • Demonstrated ability to independently lead development and security of complex contract systems. • Comfortable working with tools like Ethers.js, Web3.js, and integrating with off-chain services. Preferred Qualification • Experience contributing to or auditing DeFi protocols or asset-backed token infrastructure. • Knowledge of token compliance frameworks • Exposure to account abstraction, identity management, or modular smart contract design. • Experience participating in smart contract security reviews and using formal verification tools. • Bachelor’s degree in Computer Science, Engineering, or equivalent experience in cryptography, security, or financial systems Show more Show less

You’ll collaborate with engineering, design, compliance, and business stakeholders to translate strategy into features, manage execution, and help shape the product vision at Valuit. This is an ideal role for a product manager who thrives in fast-paced, regulated Web3 environments and wants to help scale a cross-chain RWA platform from the ground up. Key Responsibilities • Translate business goals into clear product requirements, wireframes, and technical specs. • Manage day-to-day product delivery across frontend, backend, and smart contract teams. • Write and maintain product documentation, epics, and user stories for engineers and QA. • Help drive integration with key infrastructure partners. • Support internal testing, UAT, and stakeholder feedback loops during releases. • Analyze product KPIs, user feedback, and ecosystem trends to inform prioritization. Requirements • 3+ years of product management experience in fintech, crypto/Web3, or B2B SaaS. • Experience working closely with engineers (Solidity, Node.js, React) to deliver production software. • Ability to write clear, technically sound product requirements and user flows. • Excellent communication and organizational skills. • Comfortable working in a remote, async, high-ownership environment. Preferred Qualification • Previous experience working in DeFi, tokenization, or regulated blockchain environments. • Familiarity with smart contract standards such as ERC-20, ERC-3643, or ERC-1400. • Understanding of account abstraction (e.g. ERC-4337), identity verification (KYC/AML), or compliance-led UX. • Experience managing product lifecycle for investor onboarding, token issuance, or permissioned trading Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description About Fractal What makes Fractal a GREAT fit for you? When you join Fractal, you’ll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We’re a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision. Our people enjoy a collaborative work environment, exceptional training and career development — as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. close. Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years’ Experience): Machine Learning (ML) & Deep Learning Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT4, Anthropic Claude, LLama etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in NLP techniques, including text preprocessing, tokenization, embeddings, and sentiment analysis. Familiarity with NLP tasks such as text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines, including knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience with building or integrating search and retrieval systems, leveraging knowledge of Elasticsearch, AI Search, ChromaDB, PGVector etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality and ensure desired results. Understanding how to guide large language models (LLMs) to achieve specific outcomes by using different prompt formats, strategies, and constraints. Knowledge of techniques like few-shot, zero-shot, and one-shot prompting, as well as using system and user prompts for enhanced model performance. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face, etc. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience working with SQL and NoSQL databases, as well as vector databases APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

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 www.nomura.com. Nomura Services, India supports the group’s 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 group’s 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: 8–10 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, carer’s 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. 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. Key Responsibilities 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. Skills And Experience Knowledge of 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 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 NA 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. Recruitment Assessments Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. Visit our careers website www.sc.com/careers 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 Regional Virtual Card Lead – SME Mastercard is a technology company in the global payments space. We connect consumers, financial institutions, merchants, governments, and businesses worldwide, enabling them to use electronic forms of payment instead of cash and checks. We leverage technology and data-driven insights to make electronic payments more convenient, secure, and efficient for people everywhere. Our business has a global reach—extending to more than 210 countries and territories—and continues to experience growth in a world where 85% of retail transactions are still made in cash and checks. Micro, Small, and Medium Businesses (SMEs) are critical drivers of global economic growth, representing 75% of the global workforce and about 50% of global GDP. Additionally, SMEs foster inclusion, with minorities owning 45% of small businesses and one-third of small businesses being women-owned. As such, SMEs have become a top priority for many governments and enterprises. Mastercard’s segment strategy focuses on driving growth in core products while also fostering long-term expansion through innovative solutions and expanded product distribution. The successful candidate will serve as the key regional Virtual Card Number (VCN) resource, partnering with various Mastercard stakeholders within the region, as well as banks, acquirers, fintechs, and other SME service providers. They will identify, support, and, at times, lead all go-to-market opportunities for virtual card spend and distribution. Key Responsibilities Develop and execute a regional strategy for VCN in SMEs. Define potential partnership frameworks, assess global partners, and accelerate efforts to drive incremental B2B volumes across the regions. Provide insights on SME trends and landscape changes to support segment strategy for both physical and virtual card spend. Collaborate with global SME segment product management and development teams to ensure SME products and solutions are developed and enhanced based on SME and non-bank distribution partners' input, adhering to SME product distribution standards. Support regional product and sales teams in customer and partner-facing conversations (pre- and post-sales) on card controls, virtual cards, and tokenization. This includes having a detailed understanding of product features to identify and implement solutions in partnership with the Customer Solutions Centre and the local product team. Assist sales teams in pre- and post-sales partner meetings. Partner with global government, fintech, digital partnerships, and GPS teams to identify potential SME B2B use cases, risks, and regulations. Develop use cases, playbooks, and distribution model archetypes that can be leveraged for scaling efforts. Collaborate with colleagues to capture more SME B2B flows and provide go-to-market/rollout support for new B2B solutions, partnerships, and initiatives. All About You Able to navigate conversations that are both technical and business-oriented. Excellent writing skills, with experience in creating training materials and product guides. Experience working with engineering teams; familiar and comfortable with technical specifications (API, Batch). Strong understanding of the card payment ecosystem and transaction flows—both data and financial. Knowledgeable about competitive offerings and industry trends, with international market experience. Strong expertise in B2B and embedded payments, with an understanding of SME B2B flows, including delegated spend, accounts payable, embedded finance, and trade use cases. Able to work independently with minimal guidance. Self-motivated, thrives in a fast-paced environment, and ready to take on stretch goals. Flexible and creative, able to adapt and excel in a constantly changing environment while multitasking and adjusting to evolving responsibilities. Skilled in developing visually compelling presentations with clear logic and structure. Capable of leading initiatives from start to finish, with excellent time management and organizational skills. Strong ability to build cross-functional relationships and establish an internal network to execute strategy effectively. Strong customer relationship-building and management skills to meet and manage the expectations of both internal and external customers. 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-243839 Show more Show less

osition: Data Scientist Location: Chennai, India (Work from Office) Experience: 2–5 years About the Opportunity: Omnihire is seeking a Data Scientist to join a leading AI-driven data‐solutions company. As part of the Data Consulting team, you’ll collaborate with scientists, IT, and engineering to solve high-impact problems and deliver actionable insights. Key Responsibilities: Analyze large, structured and unstructured datasets (SQL, Hadoop/Spark) to extract business-critical insights Build and validate statistical models (regression, classification, time-series, segmentation) and machine-learning algorithms (Random Forest, Boosting, SVM, KNN) Develop deep-learning solutions (CNN, RNN, LSTM, transfer learning) and apply NLP techniques (tokenization, stemming/lemmatization, NER, LSA) Write production-quality code in Python and/or R using libraries (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, NLTK/spaCy) Collaborate with cross-functional teams to scope requirements, propose analytics solutions, and present findings via clear visualizations (Power BI, Matplotlib) Own end-to-end ML pipelines: data ingestion → preprocessing → feature engineering → model training → evaluation → deployment Contribute to solution proposals and maintain documentation for data schemas, model architectures, and experiment tracking (Git, MLflow) Required Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–5 years of hands-on experience as a Data Scientist (or similar) in a data-driven environment Proficiency in Python and/or R for statistical modeling and ML Strong SQL skills and familiarity with Big Data platforms (e.g., Hadoop, Apache Spark) Demonstrated experience building, validating, and deploying ML/DL models in production or staging Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly Self-starter who thrives in a collaborative, Agile environment Nice-to-Have: Active GitHub/Kaggle portfolio showcasing personal projects or contributions Exposure to cloud-based ML services (Azure ML Studio, AWS SageMaker) and containerization (Docker) Familiarity with advanced NLP frameworks (e.g., Hugging Face Transformers) or production monitoring tools (Azure Monitor, Prometheus) Why Join? Work on high-impact AI/ML projects that drive real business value Rapid skill development with exposure to cutting-edge technologies Collaborative, Agile culture with mentorship from senior data scientists Competitive compensation package and comprehensive benefits Show more Show less

droppGroup is hiring an exceptionally capable AI Engineer with deep, practical expertise in generative AI and natural language processing (NLP). This role is not for generalists, we are looking for specialists who can operate across the full AI lifecycle: from research implementation to real-time production deployment. You must bring a disciplined engineering mindset, state-of-the-art awareness, and hands-on experience with training, fine-tuning, and deploying large language models at scale. Responsibilities Design and fine-tune large transformer models for complex generative tasks including chat, summarization, and semantic understanding. Build LLM-based systems using advanced prompt engineering, retrieval-augmented generation (RAG), and optimized inference. Own the development and optimization of model training pipelines using PyTorch, Hugging Face, DeepSpeed, and related frameworks. Deploy and maintain LLMs in high-performance production environments, optimizing for latency, cost, and stability. Conduct rigorous evaluation of models using benchmarks, human feedback, and automated testing. Manage end-to-end AI workflows with robust versioning, reproducibility, and observability using MLOps tooling. Implement scalable vector databases and semantic search infrastructure for embedding-based retrieval systems. Translate latest AI research into efficient, production-grade code—no research-only profiles. Size, allocate, and optimize compute resources (CPU/GPU/TPU) for large-scale training and inference. Establish strict testing, rollback, and fail-safe mechanisms for model deployment in live systems. Qualifications Minimum 3 years of focused experience building deep learning systems, with a proven track record in NLP and/or generative AI. Hands-on experience training and deploying transformer-based models (BERT, T5, GPT, LLaMA, etc.)—from scratch or via fine-tuning. Expert-level Python, with production-grade PyTorch skills (Tensor manipulation, gradient debugging, memory profiling, etc.). Demonstrated ability to work with multi-billion parameter models, and deploy them under real-world latency and throughput constraints. Deep understanding of language modeling, embeddings, attention mechanisms, tokenization strategies, and architectural tradeoffs. Ability to read, implement, and extend research papers into robust, testable, and efficient systems. Experience with AI infrastructure at scale, including distributed training, mixed precision, checkpointing, and A100-level GPU scheduling. Familiarity with vector databases (FAISS, Weaviate, Milvus) and hybrid search systems. Proficiency in MLOps tools (MLflow, Airflow, WandB, or similar) for model lifecycle management. Strong commitment to software engineering principles: code quality, version control, CI/CD, and modular design. Capacity to own AI systems end-to-end—from dataset preprocessing to online deployment and continuous improvement. droppGroup is an equal opportunity employer. We offer a competitive compensation structure and a fast-paced growth roadmap to all our teams. Show more Show less

Description 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? Innovation: We are working on key end-customer facing innovations like OTP reader and auto submit, CVV less transaction, OTP less, 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. 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. Itm 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. Growth: We have multiple large initiatives in pipeline for H2 2023 like CVV less, 3DS 2.0 optimization, Direct connectivity, Real Time monitoring etc. We are looking for SDEs 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 junior 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. Fun: Despite the hurdles created by fully remote work environment, 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. Basic Qualifications 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 Preferred Qualifications 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. Company - ADCI - Karnataka Job ID: A2959376 Show more Show less

Sag Infotech Pvt. Ltd is looking for a Artificial Intelligence Engineer SAG Infotech Private is a Jaipur based IT development and service company that specializes in accounting software products and services. Founded in 1999, Our organization is committed to providing high-quality accounting software, and service for professionals like Chartered Accountants (CA), Company Secretaries (CS), HR Managers, and more. Our software, including Genius and Gen GST software, is being used by thousands of professional companies and individuals around the country. Apart from accounting software, we provide web and mobile development services to various other industries. Recently SAG Infotech has also come up with SAG RTA, Rajasthan's first Registrar and Share Transfer Agent and category 1st RTA Services Provider in Jaipur.' SAG Infotech product portfolio also includes SDMT LCAP/LCNC Platform for Website and Apps Development. It is a cutting-edge platform utilizing Java, Angular, and practical IDEs, frameworks , and development tools. It offers a low-code no-code approach, empowering users to visually build applications with minimal coding and enhancing efficiency for both technical and non-technical users. Tasks 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: 5+ years of relevant experience in AI, ML, NLP, or related fields. Bachelors or Masters degree in Computer Science , Statistics , or a related discipline. Location: Jaipur (WFO) Candidate Preferably from Jaipur. Requirements 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: 5+ years of relevant experience in AI, ML, NLP, or related fields. Bachelors or Masters degree in Computer Science , Statistics , or a related discipline. Location: Jaipur (WFO) Candidate Preferably from Jaipur. Show more Show less

AI Agent Development - Python (CrewAI + LangChain) Location: Noida / Gwalior (On-site) Experience Required: Minimum 3+ years Employment Type: Full-time 🚀 About the Role We're seeking a AI Agent Developer (Python) with hands-on experience in CrewAI and LangChain to join our cutting-edge AI product engineering team. If you thrive at the intersection of LLMs, agentic workflows, and autonomous tooling — this is your opportunity to build real-world AI agents that solve complex problems at scale. You’ll be responsible for designing, building, and deploying intelligent agents that leverage prompt engineering, memory systems, vector databases, and multi-step tool execution strategies. 🧠 Core Responsibilities Design and develop modular, asynchronous Python applications using clean code principles. Build and orchestrate intelligent agents using CrewAI: defining agents, tasks, memory, and crew dynamics. Develop custom chains and tools using LangChain (LLMChain, AgentExecutor, memory, structured tools). Implement prompt engineering techniques like ReAct, Few-Shot, and Chain-of-Thought reasoning. Integrate with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities. Use semantic search and vector stores (FAISS, Chroma, Pinecone, etc.) to build RAG pipelines. Extend tool capabilities: web scraping, PDF/document parsing, API integrations, and file handling. Implement memory systems for persistent, contextual agent behavior. Leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deploy containerized applications using Docker, Git, and modern Python packaging tools. 🛠️ Must-Have Skills Python 3.x (Async, OOP, Type Hinting, Modular Design) CrewAI (Agent, Task, Crew, Memory, Orchestration) – Must Have LangChain (LLMChain, Tools, AgentExecutor, Memory) Prompt Engineering (Few-Shot, ReAct, Dynamic Templates) LLMs & APIs (OpenAI, HuggingFace, Anthropic) Vector Stores (FAISS, Chroma, Pinecone, Weaviate) Retrieval-Augmented Generation (RAG) Pipelines Memory Systems: BufferMemory, ConversationBuffer, VectorStoreMemory Asynchronous Programming (asyncio, LangChain hooks) DSA / Algorithms (Graphs, Queues, Recursion, Time/Space Optimization) 💡 Bonus Skills Experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics) Familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring) DevOps familiarity (Docker, GitHub Actions, Pipenv/Poetry) 🧭 Why Join Us? Work on cutting-edge LLM agent architecture with real-world impact. Be part of a fast-paced, experiment-driven AI team. Collaborate with passionate developers and AI researchers. Opportunity to build from scratch and influence core product design. Show more Show less

Wayfair is seeking a senior product leader to shape and scale our global payments infrastructure and integrations. These platforms are critical for processing Wayfair’s billions of dollars in annual global revenue and helping Wayfair’s millions of customers shop confidently by making transactions with Wayfair secure, seamless, and convenient. You will partner with Wayfair’s Financing, Loyalty, Payments, Fraud, and Gift Card business teams to drive product strategy, roadmaps, and delivery across a broad set of payment journeys. The Purchase technology teams also design, build, and evolve surrounding customer experiences including Cart, Checkout, Financing education & approval, Loyalty sign-up and renewals, across all web and native app platforms. The Associate Director, Product Management will serve as the key internal product expert of Payments technology bringing deep prior experience from Payments and FinTech industries. You will drive prioritization and guide key trade-off and sequencing decisions balancing effectively for value, adoption, and scale. This leader is highly-visible with audiences from the C-Suite down. This leader will also be responsible for people management of 6+ PMs based in Bangalore, dedicated to delivering outcomes across our Purchase domains. A strong candidate is an adept strategic thinker and product operator, with proven success acting with pragmatism and hands-on involvement delivering results with their teams. What You'll Do: Partner with senior leaders to define and align the business and product vision for payments at Wayfair Deliver measurable impact (e.g., improving authorization rates and reducing costs) across core payments systems including authorization, settlement, routing, and tokenization Lead, develop, and mentor a team of 6+ Bangalore-based product managers, fostering a high-performance, customer-obsessed product culture Partner deeply with Engineering and Data Science to build a resilient, scalable, and secure payments infrastructure supporting multiple programs and lines of business Shape technology strategy and product roadmaps with Wayfair’s 20+ global external payments vendors and partners streamlining working models, processes, and solutions Lead cross-functional teams in roadmapping, prioritization, and product delivery across key domains, including Cart & Checkout, Loyalty, Financing, Payments, Fraud, and Gift Cards Drive collaboration across internal stakeholders while incorporating external industry insights to shape investment decisions and surface opportunities for innovation Act as a key voice for Payments, providing senior stakeholders with clear, data-backed perspectives on priorities, trade-offs, and product value Regularly monitor performance of initiatives and communicate performance metrics to key stakeholders Leverage data to understand risks, impacts, scope and priorities of our business objectives, and enable the teams to drive results Establish operating models and decision frameworks that accelerate execution and increase cross-functional alignment What you’ll Need: Overall 15+ years of experience and at least 8+ years in product management, including significant work in Payments or FinTech at scale (UX and Platforms, strong record of success) Proven people leadership experience with a track record of coaching, mentoring, and building high-performing product teams of 6+ PMs, particularly in distributed settings Deep domain expertise in the Payments ecosystem, with strong hands-on understanding of authorization, routing, tokenization, and related systems Proven tenure building and shaping external vendor partnerships Excellent analytical and problem-solving skills, with experience in hypothesis-driven thinking and converting data into actionable insights Strong strategic instincts and the ability to balance long-term platform investments with immediate business needs Excellent communication and stakeholder management skills, with the ability to influence across domains and at all levels of the organization Sufficient technical fluency to engage in architecture, infrastructure, and system design decisions. Able to extract and guide the necessary trade-off decisions as needed between value, scalability, and time horizon Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less