TransUnion · 6 days ago
Machine Learning Platform Engineer
TransUnion is committed to building an environment where associates can develop professionally. The Machine Learning Platform Engineer will partner with cross-functional teams to establish and support data science environments, ensuring effective workflows and modernization of tools.
Credit BureauFinancial ServicesInformation TechnologyLegal
Responsibilities
Partner with cross-functional teams to drive the setup and ongoing success of new data science environments in multiple markets
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
Foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand
Qualification
Required
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 seven (7) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence
Advanced programming skills and experience with MLOps environments and proficiency with the following: Statistical programs such as R and Python, Streaming frameworks for MLOps (Kafka, Feast, Flink), Distribute processing frameworks (Ray, Dask, Slurm), Programming languages (C/C++, Scala, Java)
Experience configuring LLM architectures, including feature stores, vector databases, and RAG for real-time AI
Readiness to serve as first-point-of-contact between data science and technology teams, interface independently with local and global stakeholders, and lead complex multi-resource data science platform projects
Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving
Ability to travel 5-10% of the time
Preferred
Knowledge of Nix is a plus
Benefits
Flexible time off for exempt associates
Paid time off for non-exempt associates
Up to 12 paid holidays per year
Health benefits (including medical, dental, and vision plan options and health spending accounts)
Mental health support
Disability benefits
Up to 12 weeks of paid parental leave
Adoption assistance
Fertility planning coverage
Legal benefits
Long-term care insurance
Commuter benefits
Tuition reimbursement
Charity gift matching
Employee stock purchase plan
401(k) retirement savings with employer match
Access to TransUnion’s Employee Resource Groups
Company
TransUnion
TransUnion provides total credit protection all in one place from credit alerts, credit reports and credit scores.
H1B Sponsorship
TransUnion has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (145)
2024 (134)
2023 (180)
2022 (227)
2021 (159)
2020 (186)
Funding
Current Stage
Public CompanyTotal Funding
$1.41B2018-04-26Post Ipo Debt· $1.4B
2015-06-25IPO
2014-10-16Series Unknown· $7.25M
Leadership Team
Recent News
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