Data & AI Solutions Analyst - Assistant Vice President
Citigroup · Gurugram
The Data & AI Solutions Analyst is an intermediate-level position responsible for the development of product plans, strategies, and tactics in coordination with the Product , Tech and analytics teams. The overall objective of this role is to coordinate the promotion, development, and deployment of data, analytics, and AI-driven products to create business value, drive adoption, increase market impact, and enhance Citi's competitive position.
Key Responsibilities –
- Design, Develop and deploy generative models (e.g., GPT, GAN, VAEs) for various applications.
- 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 modelling and stay up to date with latest advancements in the field.
- Optimize and fine-tune models for performance, scalability, and robustness.
- 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.
- 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.
Qualifications –
- Bachelor’s or Master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.
- 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 with natural language processing (NLP) and natural language generation (NLG).
- Proven track record of building and deploying generative models in production environments particularly using RAG frameworks.
- 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.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Preferred Skills –
- 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.
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Job Family Group:
Product Management and Development------------------------------------------------------
Job Family:
Product Management------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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