Machine Learning Platform Engineer

TransUnion • Chicago, IL

2d • Hybrid

About The Position

This role is part of the Research & Development organization, focused on enabling and evolving enterprise data science capabilities. The team is responsible for protecting existing global data science environments, modernizing data science by onboarding practitioners to One True and cloud‑based tooling, and continuously enhancing data science and machine‑learning tools to be more automated, scalable, and user‑friendly. The team builds and improves the underlying platforms and tools that data scientists rely on every day, with strong involvement in innovation initiatives and customer‑facing use cases.

Requirements

• Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience.
• Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML workflows for HPC modeling; proficiency with statistical programs such as R and Python; workflow and distributed processing frameworks (MLflow, Targets, Prefect, Ray, Slurm), and other programming languages (C/C++, Scala, Java).
• Knowledge of Nix is a plus.
• Experience in genAI-powered machine learning, such as agentic workflows, ontology designs, and Model Context Protocol (MCP) architectures, alongside foundational LLM infrastructure including feature stores, vector databases, and RAG for real-time AI.
• Readiness to serve as a consultative first-point-of-contact between data science practitioners and technology teams, interface independently with stakeholders to design human-in-the-loop AI workflows and lead complex multi-resource ML platform projects.

Responsibilities

• Set requirements for Global Technology to support of the tools and frameworks used by analysts on distributed computing systems and participate in projects led by Global Technology as a subject matter expert on machine learning and scientific computing.
• Provide oversight and hands-on support for the development of analytic solutions using languages such as R, Python, SQL, and Spark, formalizing some of these efforts into repeatable process improvements.
• Lead new environment setup on behalf of data science teams.
• As a project leader, you will take ownership of all aspects of the project from environment design, to tool development, to training, and to global resource coordination.
• Own data science requirements and tracking, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services.
• In this capacity, you will interact directly with TransUnion’s matrix partners and provide an analytic perspective and general support as needed.
• Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
• Participate in interviewing and evaluation of new talent, mentoring and training of junior colleagues, fostering a high-performance culture, and cultivating an environment that promotes excellence and reflects the TransUnion brand.

Benefits

• Day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options.
• Spousal, domestic partner, and other eligible dependent coverage is available on select plans.
• Tax‑advantaged HSA and FSA accounts.
• Company‑paid basic life and AD&D.
• Optional voluntary life and AD&D for you and your family.
• Short‑ and long‑term disability.
• Legal plan.
• Pet insurance.
• Travel accident coverage.
• Adoption assistance.
• Fertility planning coverage.
• Caregiver support.
• Dependent Care FSA for possibility of an employer match.
• Complimentary Care@Work membership.
• Up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
• 401(k) with employer match.
• Employee Stock Purchase Plan (ESPP).
• Financial wellness resources.
• Career coaching.
• Optional long‑term care insurance.
• Tuition reimbursement.
• Flexible time off for exempt employees or paid time off for nonexempt employees.
• Up to 12 paid holidays per year.
• Commuter benefits.
• Employee discounts.
• Charitable gift matching.
• Paid volunteer time off.
• Corporate volunteer events.
• 24/7 support including professional therapy, coaching, and emotional well‑being programs.
• Guided meditation and resources that support physical, mental, social, and financial wellness.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior