Data Scientist, Citi

Citi

Location:
India, Bengaluru ▼
Pune

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Specialized Analytics Sr Anlst role applies in-depth disciplinary knowledge, contributing to development of new techniques and improvement of processes/work-flows for the area or function. Requires good analytical skills, excellent communication, and substantial impact in terms of project size/geography. Responsibilities focus on designing, developing, and deploying AI solutions, collaborating with cross-functional teams, conducting research, optimizing models, and mentoring junior team members

Job Responsibility:

Design, Develop and deploy generative AI based solutions for various Fraud prevention area
RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
Collaborate with cross-functional team to understand business requirements and translate them into AI solutions
Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field
Optimize and fine-tune models for performance, scalability, and robustness
Strong experience in prompt engineering
Implement and maintain AI pipelines and infrastructure to support model training and deployment
Perform data analysis and preprocessing to ensure high-quality input for model training
Mentor junior team members and provide technical guidance
Write and maintain comprehensive documentation for models and algorithms
Present findings and project progress to stakeholders and management

Requirements:

8+ years of experience in machine learning and deep learning, with a focus on generative models
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience working with Model Risk Management team for model approval and governance related work
Experience with natural language processing (NLP) and natural language generation (NLG)
Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
Solid understanding of machine learning algorithms, data structures, and software engineering principles
Excellent problem-solving skills and the ability to work independently and as part of a team

Nice to have:

Experience with cloud platforms such as AWS, Google Cloud, or Azure
Knowledge of reinforcement learning and its applications in generative AI
Familiarity with MLOps practices and tools
Contributions to open-source projects or published research in top-tier conferences/journals
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus

Additional Information:

Job Posted:
July 23, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Scientist