Citigroup, Inc

Sr. AI/Python Engineer-Vice President

Citigroup, Inc$142K — $213K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in data-intensive, large-scale machine learning solutions.
  • Expert in Python and Jupyter Notebook scripting.
  • Proficient with machine learning frameworks like Scikit-learn, Keras, and TensorFlow.
  • Experience with MLOps platforms such as MLFlow and Google Cloud Vertex AI.
  • Strong background in database management including Oracle and PostgreSQL.

Responsibilities

  • Own the architecture of machine learning systems and frameworks.
  • Mentor and develop emerging tech talent within the team.
  • Lead and deliver end-to-end ML systems to address business challenges.
  • Engage with stakeholders to ensure alignment between technical solutions and business needs.
  • Manage operational quality and enhance data integrity across teams.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) retirement plan options.
  • Life, accident, and disability insurance.
  • Wellness programs to support employee health.
  • Paid time off including vacation and sick leave.
Full Job Description
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: 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
  • 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:
Jersey City New Jersey United States

Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00

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:
Aug 24, 2026

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ

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