Sr. AI/Python Engineer-Vice President

Key Responsibilities & Competencies

• Strategic Impact & Architectural Leadership: Take ownership of the ML systems architecture. Proactively assess and resolve complex, high-impact challenges by designing and evaluating multifaceted alternatives. Drive significant value by leading the development and deployment of robust analytical frameworks and ML pipelines that align with strategic business goals.
• Leadership & Influence: Exercise formal and informal leadership to foster a culture of technical excellence. Consistently mentor and develop emerging talent, guiding them in best practices for building scalable and resilient systems. Influence strategic decisions and drive project success through expert guidance, counsel, and facilitative leadership across significant, global projects.
• End-to-End ML Systems Delivery: Direct comprehensive analytics and ML initiatives designed to resolve critical business challenges. Orchestrate the entire system change lifecycle, from initial requirements gathering and project scoping through to implementation, deployment, and operational support.
• Stakeholder Engagement & Business Liaison: Demonstrate exceptional communication and diplomacy skills. Engage effectively with cross-functional stakeholders and business leaders to articulate complex technical concepts, negotiate solutions, and align objectives. Drive critical communication channels between business and IT to ensure strategic alignment.
• Operational Excellence & Quality Assurance: Directly impact the performance and operational throughput of multiple teams. Assure the quality of work output for individual contributions and cross-functional teams. Execute advanced data mining and analytical procedures to optimize operational processes and elevate data integrity standards.
• Risk Stewardship & Compliance: Demonstrate proactive risk assessment in all decisions, prioritizing the firm's reputation and the integrity of its assets. Ensure stringent adherence to applicable laws, regulations, and corporate policies, exercising astute ethical judgment in all business practices.

Required Skills & Technical Qualifications

• Experience: 7+ 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
• Primary: Expert-level Python, Jupyter Notebook Scripting
• Secondary: MLOps
• Machine Learning Frameworks & Libraries: Core ML: Scikit-learn, Keras, TensorFlow, PyTorch Advanced NLP & Generative AI: RAGAs, DsPy, Large Language Models (LLM)
• Core ML: Scikit-learn, Keras, TensorFlow, PyTorch
• 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
• Relational: Oracle, MySQL, PostgreSQL
• 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
• Version Control: Git
• 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
• Messaging & Asynchronous Communication: Kafka
• ETL & Data Warehousing: Sqoop, PySpark, Hive, Hadoop, HDFS
• File Formats: Avro, Parquet, Iceberg
• Web Technologies: Web Frameworks: FastAPI, Flask Web Servers & Reverse Proxies: NGINX
• Web Frameworks: FastAPI, Flask
• Web Servers & Reverse Proxies: NGINX

Education

Who We Think Will Be a Great Fit

Primary Location:

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Primary Location Full Time Salary Range:

• 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.
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Most Relevant Skills

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Automated Processing and AI