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Senior Data Scientist – Gen AI Engineer - Assistant Vice President

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Citi

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Responsibility:

  • Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
  • Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
  • Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
  • Developing, testing, and maintaining production-grade Python code for GenAI applications.
  • Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
  • Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
  • Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
  • Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
  • Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
  • Participating in and leading team meetings, design reviews, and architecture discussions.

Requirements:

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
  • 8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
  • Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
  • Expert-level Python proficiency
  • Scikit-learn, XGBoost, LightGBM
  • PyTorch
  • Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
  • LangGraph, CrewAI, AutoGen
  • Transformer architectures
  • RAG patterns
  • Pinecone, Weaviate, Milvus, Qdrant, pgvector, ChromaDB
  • Prompt engineering
  • vLLM, TGI
  • FastAPI
  • MLOps / LLMOps
  • AWS (Bedrock, SageMaker, Lambda) or Azure (Azure OpenAI Service, Azure AI Studio, Azure ML) or GCP (Vertex AI, Gemini API)
  • Excellent communication and collaboration skills

Nice to have:

  • Master's or Ph.D. in a relevant field (Computer Science, AI/ML, NLP, or related).
  • Experience with MLOps/LLMOps and building robust, automated AI pipelines at enterprise scale.
  • Deep understanding of cloud-native architectures and their application in GenAI workloads.
  • Experience developing and deploying conversational AI and agentic AI solutions in production environments.
  • Contributions to open-source projects, research, or publications in the field of Generative AI or NLP.
  • Experience building, curating, and managing large-scale datasets for training or fine-tuning GenAI models.
  • Familiarity with graph databases (e.g., Neo4j) and knowledge graph integration with LLMs (GraphRAG).
  • Experience with multimodal AI (text, image, audio, video).

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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