Sr. Data Scientist, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Sr. Data Scientist role requires a highly motivated and skilled technical lead with a strong passion for Generative AI. Responsibilities include designing and deploying GenAI projects, leading teams, and staying at the forefront of AI advancements. Candidates must exhibit expert Python skills and extensive experience with tools such as TensorFlow and PyTorch.

Job Responsibility:

Leading technical development and mentoring teams
applying NLP techniques to financial data
refining prompt engineering strategies for LLMs
developing and testing Python code for GenAI solutions
integrating with vector databases
monitoring MLOps pipelines
researching emerging GenAI technologies
troubleshooting and debugging GenAI models in production environments
staying up-to-date with GenAI advancements
designing and deploying GenAI solutions from end to end
collaborating with stakeholders and translating technical concepts into business language.

Requirements:

Master's degree in Computer Science, Data Science, or a related field
Ph.D. preferred
8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI, including experience leading technical development and mentoring teams
experience working with financial data and applying NLP techniques
refining prompt engineering strategies for LLMs
collaborating with stakeholders to understand needs
developing and testing Python code for GenAI solutions
integrating with vector databases
monitoring MLOps pipelines
researching emerging GenAI technologies
participating in team meetings
troubleshooting and debugging GenAI models in production
staying up-to-date with the rapidly evolving GenAI landscape
communicating technical concepts clearly to non-technical stakeholders
demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation
experience with data structures, algorithms, object-oriented programming, file handling, and exception handling
proficiency with scientific computing (NumPy, Pandas, SciPy)
machine learning (Scikit-learn, XGBoost, LightGBM)
deep learning (TensorFlow, PyTorch)
and Generative AI technologies (Transformers, LangChain)
expertise in LLM architectures, RAG, advanced chatbot architectures, prompt engineering, fine-tuning LLMs, and scalable API development
expert-level Python programming skills
strong technical leadership and mentorship skills
excellent communication and collaboration skills.

Nice to have:

Experience with MLOps and building robust AI pipelines
deep understanding of cloud computing platforms and their application in Generative AI
experience with developing and deploying conversational AI solutions in production environments
contributions to research and publications in the field of Generative AI
experience building and managing large datasets for training GenAI models.

Additional Information:

Job Posted:
July 02, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Sr. Data Scientist