Sr. AI/Python Engineer

Citibank (Switzerland) AG; Tampa (FL); Hybrid; Confidential; Full time

Job summary

Citi in Tampa, FL is seeking a Senior AI/Python Engineer to architect and deploy scalable ML systems that power critical financial applications. You will bridge data science and production, owning end-to-end ML pipelines and backend services in a hybrid work setting.

The role requires 6+ years of experience, expert Python, and strong MLOps, with hands-on work across TensorFlow, PyTorch, and cloud platforms.

Qualifications

• 6+ years hands-on ML engineering and production ML systems experience.
• Proven leadership in large-scale ML deployments and agile teams.
• Strong collaboration between data science and engineering.

Responsibilities

• Architect and deliver scalable ML systems powering business insights.
• Deploy DS models and maintain enterprise pipelines.
• Mentor engineers and guide best practices in ML operations.
• Collaborate with data scientists, frontend engineers, and stakeholders.

Skills

Python

Jupyter Notebook

MLOps

NLP/LLM

TensorFlow

PyTorch

Docker

OpenShift

Kafka

Education

Bachelor's or Master’s in CS/CE or related field

Tools

SQL Databases (Oracle/MySQL/PostgreSQL)

MongoDB

MLFlow

Dagster

Vertex AI

Kubernetes

Git

Jenkins

Airflow

Job description

## Sr. AI/Python EngineerApply: Hybrid: Tampa Florida United States: Full time: Posted Yesterday: 26994454**Engineer the Future of Global Finance**At Citi, our Tech team doesn’t just support finance—we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. We are seeking a skilled and innovative Vice President-level Machine Learning Systems Engineer with extensive ML Ops experience to join our team and lead the charge in building the next generation of intelligent financial systems.**Role Overview**In this senior tech lead role, you will be responsible for the architecture, construction, and maintenance of scalable backend systems that power our machine learning initiatives. You will own the deployment of data science (DS) models and design robust, enterprise-grade pipelines that enable the seamless integration of DS solutions into our core applications.You will act as the crucial bridge between data science and production-ready systems, working closely with data scientists, front-end engineers, and business leaders. If you are passionate about operationalizing complex models, creating highly reliable backend services, and defining the lifecycle for data science workflows at an enterprise scale, this role is a perfect fit.**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:** 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* **Machine Learning Frameworks & Libraries:** + **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* **Database Management Systems:** + **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* **Data Engineering & Processing:** + **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**Education*** 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.------------------------------------------------------## **Job Family Group:**Technology------------------------------------------------------## **Job Family:**Applications Development------------------------------------------------------## **Time Type:**Full time------------------------------------------------------## **Primary Location:**Tampa Florida United States------------------------------------------------------## **Primary Location Full Time Salary Range:**$113,840.00 - $170,760.00In 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.