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Gen AI Specialist
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ICT
💰 Salary Not shared
📊 Market ₹200,000–₹450,000/mo (₹2,400,000–₹5,400,000/yr)
About the Company
Powering Opportunities Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Information Services Specialties: Data, Credit, Data Management, Risk Management, Health Data, Predictive Analytics, Data Science, Automotive Data, Big Data, Analytics, Fraud, Financial Access, Innovation, Lending Data, Identity, Marketing Services, Digital Marketing, Information Services
Responsibilities
- ● Design, develop, and deploy Generative AI applications using Amazon Bedrock and foundation models. Build and optimize RAG-based solutions leveraging vector search and enterprise knowledge repositories. Develop AI-powered assistants, copilots, and conversational applications. Create document ingestion, embedding, and semantic search pipelines for unstructured data. Design and develop scalable APIs and microservices to support AI applications. Evaluate, test, and optimize LLM performance for accuracy, relevance, latency, and cost efficiency. Collaborate with Product Managers, Architects, Designers, and business stakeholders to translate requirements into AI-driven solutions. Follow security, governance, and Responsible AI best practices throughout the development lifecycle. Stay current with emerging trends and advancements in Generative AI technologies
- ● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 4-6 years of experience in software engineering, cloud application development, or AI/ML engineering. Hands-on experience developing and deploying production-grade Generative AI solutions. Technical Skills AWS Services (Must Have) Amazon Bedrock (Foundation Models, Agents, Knowledge Bases) Amazon OpenSearch Service (Vector Search) Amazon S3 AWS Lambda Amazon API Gateway Generative AI & Machine Learning (Must Have) Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Embeddings and Semantic Search AI Model Evaluation and Optimization Programming & Frameworks (Must Have) Python REST APIs and Microservices LangChain or LlamaIndex DevOps & Engineering Practices (Must Have) Git-based Source Control CI/CD F
- ● Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here
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