Machine Learning Platform Engineer

Machine Learning Platform Engineer page is loaded## Machine Learning Platform Engineer locations:
Chicago, Illinois time type:
Full time posted on:
Publicado hoyjob requisition :

** What We'll Bring:
** At Trans Union, 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.
** We'd Love to See:
*** Knowledge of Nix is a plus.
** Impact You'll Make:
** 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 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.
* 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 Trans Union brand.
* Foster a high-performance culture and cultivate an environment that promotes excellence and reflects the Trans Union brand.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair…