Sr. AI/Python Engineer

• Experience: 6+ years of professional experience implementing data-intensive, large-scale ML solutions, with a proven track record of technical leadership and using agile methodologies.
• Programming Languages: Primary: Expert-level Python, Jupyter Notebook Scripting Secondary: MLOps

• Secondary: MLOps
• Machine Learning Frameworks & Libraries: Core ML: Scikit-learn, Keras, TensorFlow, PyTorch Advanced NLP & Generative AI: RAGAs, DsPy, Large Language Models (LLM)

• Advanced NLP & Generative AI: RAGAs, DsPy, Large Language Models (LLM)
• MLOps & ML Lifecycle Management: Platforms: MLFlow, Dagster, Google Cloud Vertex AI
• Platforms: MLFlow, Dagster, Google Cloud Vertex AI
• Database Management Systems: Relational: Oracle, MySQL, PostgreSQL NoSQL: MongoDB

• NoSQL: MongoDB
• Infrastructure & DevOps: CI/CD & DevOps Tooling: UDeploy, Harness, Tekton, Jenkins, Maven Version Control: Git Containerization & Orchestration: Docker, OpenShift, Amazon ECS
• CI/CD & DevOps Tooling: UDeploy, Harness, Tekton, Jenkins, Maven

• Containerization & Orchestration: Docker, OpenShift, Amazon ECS
• Data Engineering & Processing: Messaging & Asynchronous Communication: Kafka ETL & Data Warehousing: Sqoop, PySpark, Hive, Hadoop, HDFS File Formats: Avro, Parquet, Iceberg

• ETL & Data Warehousing: Sqoop, PySpark, Hive, Hadoop, HDFS

• Web Technologies: Web Frameworks: FastAPI, Flask Web Servers & Reverse Proxies: NGINX

• Bachelor’s or Master’s degree in a technology-related discipline (e.g., Computer Science, Computer Engineering) or equivalent professional experience.

Who We Think Will Be a Great Fit

A steadfast dedication to continuous learning and a genuine passion for business are paramount.

We are seeking a senior professional who brings a global perspective to the future of banking and is eager to make an impact at the corporate level.

This role is ideally suited for an ambitious leader with a relentless drive to succeed in a fast-paced, dynamic environment, and who is inherently curious about how technology can revolutionize finance.

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

For additional information regarding Citi employee benefits, please visit citibenefits.com.

Available offerings may vary by jurisdiction, job level, and date of hire.

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening.

Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals.

Our automated processing and AI do not involve relying on automatic or autonomous decision-making.

Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

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