Machine Learning Platform Engineer

TransUnion-posted 5 days ago

Full-time • Mid Level

Hybrid • Chicago, IL

5,001-10,000 employees

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At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 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.

You will partner with cross-functional teams to drive the setup and ongoing success of new data science environments in multiple markets.
Tasks will include – among others – the development of effective data science workflows, the modernization of global tools, and liaising between global SMEs in data science and technology.
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.

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.

Knowledge of Nix is a plus.

TransUnion provides flexible benefits including 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, and access to TransUnion’s Employee Resource Groups.
Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

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