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

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JOB FAMILY:

Product Management

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TIME TYPE:

Full time

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MOST RELEVANT SKILLS

Please see the requirements listed above.

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OTHER RELEVANT SKILLS

For complementary skills, please see above and/or contact the recruiter.

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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.

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

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