Job description

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 - $170,760.00 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. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Sep 22, 2026 ------------------------------------------------------ Automated Processing and AI 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.

Requirements

Must-haves

Engineer the Future of Global Finance
Key Responsibilities & Competencies
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.
Primary: Expert-level Python, Jupyter Notebook Scripting
Secondary: MLOps
Core ML: Scikit-learn, Keras, TensorFlow, PyTorch
Advanced NLP & Generative AI: RAGAs, DsPy, Large Language Models (LLM)
Platforms: MLFlow, Dagster, Google Cloud Vertex AI
Relational: Oracle, MySQL, PostgreSQL
NoSQL: MongoDB
CI/CD & DevOps Tooling: UDeploy, Harness, Tekton, Jenkins, Maven
Version Control: Git
Containerization & Orchestration: Docker, OpenShift, Amazon ECS
Messaging & Asynchronous Communication: Kafka
ETL & Data Warehousing: Sqoop, PySpark, Hive, Hadoop, HDFS
File Formats: Avro, Parquet, Iceberg
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
------------------------------------------------------
Technology ------------------------------------------------------
Applications Development ------------------------------------------------------

Nice-to-haves

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Application prep

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Keywords to mirror

aimachine learningmlagilepythonllmci/cddockeraccessibility

Platform: eightfold
Effort: medium

Benefits

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Dental

Vision

401(K)

Paid Time Off

Wellness