Machine Learning Platform Engineer

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. Set requirements for Global Technology to support

Own data science requirements and tracking, working to identify strategies and opportunities to test and adopt Trans Union’s analytic products and services. In this capacity, you will interact directly with Trans Union’s matrix partners and provide an analytic perspective and general support as needed. 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. In either case, the candidate will demonstrate a consistent track record of academic excellence.

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.
** For You**:
Grow and recharge with 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, and paid volunteer time off, plus corporate volunteer events that make it easy to give back.
#J-18808-Ljbffr