Data Scientist with Gen ai

1 week ago

Bengaluru, India People Prime Worldwide Full time

Our is Client is a largest Top 5 Software giant in India, with over 11.3 USD billion dollars revenue, Global work force 2,40,000 employees, It delivers end-to-end technology, consulting, and business process services to clients across the globe, Presence: 60+ countries and Publicly traded company NSE & BSE (India), NYSE (USA). · Job Title: Data Scientist With Gen AI · Location: Bengaluru, Chennai · Experience: 5+ years . Interview Mode: Face to Face (F2F) . Date And Time: 08-11-2025 (Saturday) · Job Type : Full Time Permanent · Notice Period:- Immediate joiners . Client : MNC Client Data Scientist: 5-10 years - 5+ years of work experience with a bachelor's degree or an advanced degree in Computer Science, Information Technology, Engineering, or a related field. - 3+ Experience with building backend services and APIs, including integration with distributed data systems and cloud-native architectures. - 3+ Strong experience in writing efficient, maintainable code for large-scale systems and data-driven applications. - 1+ years of hands-on experience with GenAI technologies — including LLMs, promptengineering, embeddings, fine-tuning, or building RAG (Retrieval-Augmented Generation) pipelines. - Strong programming skills in one or more languages such as Python, Java, or Scala, with a solid foundation in software design principles, testing, and version control (e.g., Git). Python developers are preferred. - Strong backend engineering background with expertise in building scalable systems using Python, C#, Java or similar, and hands-on experience with microservices, REST APIs, Kafka, and cloud platforms (AWS/Azure) — preferably with exposure to secure, low-latency architectures. - Demonstrated interest or experience in GenAI/Agentic AI systems — including building or integrating with LLMs (e.g., OpenAI, Claude), use of tools like LangChain, LangGraph, Copilot, or vector DBs, or implementing AI agent orchestration logic in real-world workflows. - Comfortable working in AI-first environments, with experience using modern developer tools (e.g., Docker, Kubernetes, CI/CD, Git), and exposure to prompt engineering, embeddings, or AI-based toolchains preferred.

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