Senior Engineer AI-ML

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Key Responsibilities:

• Design, develop, and deploy Machine Learning and Generative AI models to solve complex business problems.
• Build and optimize Agentic AI systems with a focus on autonomy and decision-making capabilities.
• Develop scalable and efficient Python-based solutions for data preprocessing, model training, and deployment.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems and workflows.
• Research and implement state-of-the-art algorithms and techniques in Machine Learning and Generative AI.
• Ensure data security and compliance with organizational policies while handling sensitive data.
• Monitor and evaluate model performance, ensuring continuous improvement and optimization.
• Document processes, models, and code to maintain transparency and reproducibility.

Required Skills and Qualifications:  

• 6+ years of relevant experience in AL, ML with strong proficiency in Python programming and experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
• Hands-on experience with Machine Learning, Generative AI, and Agentic AI systems.
• Solid understanding of algorithms, data structures, and AI/ML model development.
• Experience with Natural Language Processing (NLP), computer vision, or other AI domains.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Knowledge of data engineering workflows, including data cleaning, feature engineering, and pipeline development.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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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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