Machine Learning Engineer

Join the 2,800+ professionals of Minnesota IT Services (MNIT) who connect Minnesotans to services that will improve their lives. This position serves our partners at the Minnesota Department of Health (MDH). The MNIT MDH team provides services for over 250+ applications and delivers the information technology to drive one of the leading public health systems in the nation. You will support an agency that works to protect, maintain, and improve the health of all Minnesotans.

Job Summary

*This position is temporary and includes full state fringe benefits; it is anticipated to last two (2) years.

In this dynamic, fast-paced role, you’ll serve as a technical expert on our data services team at Minnesota IT Services (MNIT), partnering with Minnesota Department of Health (MDH) to design, deploy, and maintain Machine Learning and AI pipelines that leverage the full power of Amazon Web Services (AWS). Your creativity and innovative thinking is not only appreciated but encouraged in our ever-evolving environment.

Work where you live, contribute to something bigger than yourself, and be challenged every day. Come build technology that makes a real difference in Minnesotans life, join Minnesota IT Services and the Minnesota Department of Health!

This position requires an employee to be onsite at 625 Robert Street North Paul, MN 55101, Minnesota at least 50% of the time, with some opportunity to perform work from a telework location. Telework for Minnesota IT Services is available on a limited basis. Employees will be required to meet current telework eligibility requirements.

Qualifications

Position requires a minimum of four (4) years of IT related experience in Amazon Web Services (AWS) or related data technologies.

• Data Engineering proficiency with S3, Glue (inclusive of PySpark for large-scale processing), and Lambda
• SQL querying experience across multiple engines (Athena, Redshift, RDS, PostgreSQL, Oracle, SQL Server, etc.)
• Experience building Generative AI applications using Bedrock (e.g. RAG systems, agents, orchestration)
• Experience deploying Machine Learning models using AWS SageMaker.
• Ability to troubleshoot complex data systems and resolving issues independently.
• Demonstrated ability to communicate clearly and effectively in a manner that facilitates mutual understanding.
• Customer-focused approach grounded in active listening, empathy, and solution-oriented problem-solving to deliver positive user experiences.

Education in Information Technology (IT) or an IT related field may substitute for experience as follows: a master’s degree for eighteen (18) months of experience; a bachelor’s degree for one (1) year; and an associate’s degree for six (6) months.

Minnesota IT Services does not participate in the federal E-Verify program. Minnesota IT Services is unable to sponsor applicants for work visas, including F-1 STEM OPT extensions, and cannot complete Form I-983 or any other documentation requiring employer participation in E-Verify. All applicants must be legally authorized to work in the United States at the time of application.