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.------------------------------------------------------
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.
Skills Required
- 7-10 years of experience in product management, analytics, data science, or AI solutions
- Knowledge of marketing, credit, acquisitions, product development, and/or analytics
- Ability to work independently and adjust priorities quickly
- Ability to work under pressure and manage deadlines and changing requirements
- Clear and concise written and verbal communication skills
- Demonstrated analytical, problem-solving, and decision-making skills
- Experience productizing analytics and AI solutions using release management, deployment, governance, and change management practices
- Strong proficiency in Python for prototyping, workflow automation, and data and AI solution development
- Experience with Generative AI, LLMs, prompt engineering, AI agents, semantic layers, and modern AI platforms
- Experience with forward deployment models, business stakeholder partnership, rapid prototyping, demonstrations, and adoption efforts
- Deep understanding of data analytics using Teradata, PySpark, and Snowflake
- Strong presentation and storytelling skills for technical and business audiences
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
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What We Do
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