Data & AI Solutions Analyst - Assistant Vice President

Citigroup; Gurugram District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Citigroup is seeking an Data & AI Solutions Analyst to lead the design, development, and deployment of data, analytics and AI-driven products. You will work with Product, Tech, and analytics teams to create business value and promote adoption of AI solutions.

You will design generative models, customize RAG frameworks, and collaborate across functions to translate business needs into scalable AI deployments. Strong Python and DL skills are essential.

Qualifications

• Bachelor's or Master's in CS/Data Science/ML; PhD is a plus.
• 8+ years of ML/DL experience, focus on generative models.
• Proficient in Python and DL frameworks (TensorFlow, PyTorch, Keras).
• Experience with NLP and NLG.
• Proven track record deploying generative models in production using RAG.
• Solid ML fundamentals and software engineering practices.
• Excellent problem-solving and teamwork; strong communication.

Responsibilities

• Design, develop and deploy generative models for various applications.
• Customize RAG frameworks or design new RAG to meet project needs.
• Collaborate with cross-functional teams to translate requirements into AI solutions.
• Conduct research to advance generative modelling and stay updated.
• Optimize models for performance, scalability and robustness.
• Implement and maintain AI pipelines and infrastructure for training and deployment.
• Perform data analysis and preprocessing for high-quality inputs.
• Mentor junior team members and provide technical guidance.
• Write and maintain documentation for models and algorithms.
• Present findings and progress to stakeholders and management.

Skills

Python

Deep learning

RAG frameworks

NLP

NLG

Model deployment

Cloud platforms

Communication

Problem solving

Education

Bachelor's degree in CS/DS/ML

Master's degree in CS/DS/ML

Ph.D. is a plus

Tools

TensorFlow

PyTorch

Keras

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.

Time Type: Full time

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