Data & AI Solutions Analyst - Assistant Vice President

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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