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Forward Deployed Engineer​/AI​/ML Solutions Consultant

Job in Minneapolis, Hennepin County, Minnesota, 55401, USA
Listing for: Yochana
Full Time position
Listed on 2026-07-24
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Forward Deployed Engineer / AI/ML Solutions Consultant

AI/ML Solutions Consultant

Minneapolis, MN (Remote 100%)

6+ Months

Mandatory Skills - Python/ Java/ SQL, AI/ML Concepts, cloud

Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 5+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
  • 4+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
  • Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
  • Experience working with APIs, data pipelines, or distributed systems
  • Familiarity with cloud platforms (e.g., AWS, Azure, or GCP)
  • Exposure to AI/ML concepts, including LLMs and prompt engineering
  • Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
  • Ability to work effectively in client-facing delivery environments
  • Solid collaboration skills and ability to operate within structured project teams
  • Clear communication skills for working with both technical and non-technical stakeholders
  • Ability to execute against defined requirements and evolving priorities
Preferred Qualifications:
  • Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering)
  • Healthcare Domain Expertise;
    Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)
  • Familiarity with healthcare data considerations (e.g.
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