Senior Data Science

5 - 8 years

0 - 1 Lacs

hyderabad bengaluru mumbai (all areas)

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

  • Generative AI & LLM Systems: Design, develop, and deploy end-to-end Generative AI applications, with a strong focus on LLMs.
  • Agentic AI & Orchestration: Lead the development of complex, multi-agent AI systems and sophisticated workflows using frameworks like LangChain and LangGraph.
  • Retrieval Augmented Generation (RAG): Architect and implement robust RAG pipelines for enhanced LLM applications, including vector database integration and content retrieval optimization.
  • Prompt Engineering Expertise: Develop and implement advanced prompt engineering strategies to optimize LLM performance, reliability, and precision for various tasks.
  • LLM Fine-tuning & Customization: Perform large-scale fine-tuning and adaptation of open-source and proprietary LLMs for domain-specific applications and improved performance.
  • Machine Learning Model Development: Design, train, test, and validate ML models for a wide range of tasks, including but not limited to Computer Vision (e.g., object detection, image classification, segmentation) and Natural Language Processing (e.g., text classification, sentiment analysis, entity recognition).
  • MLOps & Deployment: Build and maintain scalable and reliable production pipelines for ML models and LLM applications, ensuring seamless integration and deployment.
  • API Development: Develop robust RESTful APIs using Flask or FastAPI to serve machine learning models and LLM solutions.

Preferred candidate profile

We are seeking a highly skilled and experienced Senior Data Science & ML Engineer to join our innovative AI team. This role is perfect for a hands-on expert with 4-5 years of experience who is passionate about building intelligent, production-ready AI systems, with a particular emphasis on Generative AI, Large Language Models (LLMs), and Agentic AI.

You will be instrumental in designing, developing, and deploying advanced machine learning solutions across various domains, including Computer Vision and Natural Language Processing. You'll work with the latest tools and techniques to bring state-of-the-art research into practical, scalable applications.

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