Data & AI Solutions Analyst - Assistant Vice President

Citi; Haryana; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Citi in India is seeking an intermediate-to-senior Data & AI Solutions Analyst to coordinate the promotion, development, and deployment of AI-driven products that create business value and drive adoption.

You will design, develop and deploy generative models, tailor RAG frameworks, and collaborate with product, tech, and analytics teams to translate requirements into scalable AI solutions for Citi's competitive position.

Qualifications

• 8+ years of experience in machine learning and deep learning with generative models.
• Proficiency in Python and deep learning frameworks (TF, PyTorch, Keras).
• Experience with NLP/NLG and deploying models in production using RAG frameworks.

Responsibilities

• Design, develop and deploy generative models for various applications.
• Customize and implement RAG frameworks to meet project requirements.
• Collaborate with cross-functional teams to translate requirements into AI solutions.
• Conduct research to advance the state-of-the-art in generative modelling.
• Optimize 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.
• Mentor junior team members and provide technical guidance.
• Write and maintain documentation for models and algorithms and present findings to stakeholders.

Skills

Python

NLP

NLG

Deep learning

TensorFlow

PyTorch

Keras

Machine learning

Communication

Education

Bachelor's or Master's in CS/DS/ML

PhD is a plus

Tools

TensorFlow

PyTorch

Keras

AWS

Google Cloud

Azure

MLOps

Job description

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.

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.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.