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Grid Dynamics - Senior Data Scientist - Generative AI

Grid Dynamics - Senior Data Scientist - Generative AI

Grid DynamicsHyderabad
30+ days ago
Job description

We are seeking a highly skilled Senior Data Scientist with hands-on experience in Generative AI to design, build, and deploy advanced AI solutions. This role involves working on cutting-edge projects like RAG-based chatbots, LLM-driven BI systems, and autonomous coding agents. You will collaborate cross-functionally with engineering teams to turn AI prototypes into scalable production systems.

Key Responsibilities :

  • Architect and implement end-to-end Generative AI solutions (e.g., RAG chatbots, AI-powered BI tools, code-generating agents)
  • Develop intelligent agents using LangGraph or similar orchestration frameworks
  • Build scalable data ingestion and retrieval pipelines leveraging LlamaIndex and related libraries
  • Design and maintain high-performance vector databases for semantic search and information retrieval
  • Integrate and benchmark multiple LLM providers (OpenAI, Gemini, Claude, etc.)
  • Set up monitoring and observability systems using tools like LangSmith for real-time tracking of AI performance
  • Work closely with engineering teams to productionize machine learning models and applications

Required Skills & Qualifications :

  • 3 - 7 years total experience, with a minimum of 1 year focused on Generative AI
  • Generative AI Expertise :

  • Practical experience with LangGraph or equivalent frameworks for agent orchestration
  • Strong knowledge of LlamaIndex, LangChain, or similar libraries for document processing
  • Proficiency with vector databases (Pinecone, Chroma, Weaviate, etc.)
  • Familiarity with LLM APIs from providers like OpenAI, Anthropic, and Google
  • Hands-on experience with LLM observability tools such as LangSmith, Weights & Biases
  • Demonstrated ability to build natural language to SQL BI tools
  • Proven experience in building RAG systems for contextual chatbot solutions
  • Experience in developing code generation agents and LLM-based programming AI & Machine Learning :
  • Solid foundation in ML techniques such as classification, regression, clustering, and time-series forecasting
  • Proficiency with frameworks like scikit-learn, TensorFlow, and PyTorch
  • Experience in statistical analysis, A / B testing, and experimental design
  • Strong data handling skills, including feature engineering and preprocessing
  • (ref : hirist.tech)

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