Senior AI/ML Engineer
US client via staffing partner · Minnesota City, MN 55959
- Location
- Minnesota City, MN 55959 · Hybrid
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
AI/ML Engineering · AI Platform Delivery · Enterprise AI Solution Implementation · AI Development Lifecycle (AIDLC) · AIDLC Frameworks · Spec Kit · BMAD · Spectra · AI Governance · Responsible AI · Model Risk Management · Regulatory Compliance · Cloud Computing · Data Engineering · Agile Methodologies · Team Leadership
About the role
Senior AI/ML Engineer Minnesota City, MN 55959 Hybrid Contract Minimum Years of Experience: 8–10 years, as specified in the dedicated minimum-experience field. The detailed description also mentions 6–8 years; confirm the correct requirement with the client. Required Skills/Experience: - Strong experience in AI/ML engineering, AI platform delivery, and enterprise AI solution implementation. - Deep understanding of the AI Development Lifecycle (AIDLC) and AIDLC frameworks, including Spec Kit, BMAD, Spectra, or similar frameworks. - At least 4 years of experience leading, managing, or coaching AI/ML engineering teams, particularly using the AIDLC work model. - Experience implementing enterprise AI solutions and managing AI engineering delivery. - Knowledge of AI governance frameworks, responsible AI, model risk management, and regulatory compliance. Preferred Skills/Experience: - Certifications or relevant credentials in AI/ML, cloud computing, data engineering, or Agile methodologies. - Experience in healthcare, financial [contact hidden], or other highly regulated enterprise environments. - Experience leading enterprise AI transformation or platform modernization initiatives. Required Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field. Required Certifications or Licenses: None required. Relevant certifications in AI/ML, cloud, data engineering, or Agile methodologies are preferred. Required Industry or Domain Experience: Enterprise AI/ML; experience in healthcare, financial [contact hidden], or other regulated industries is preferred. Job Summary (what the client has told us): Seeking an experienced Technology Specialist with a strong background in AI/ML engineering, enterprise AI platform delivery, and AI solution implementation. The candidate should understand the AI Development Lifecycle (AIDLC), relevant frameworks, and AI governance practices. The role requires leadership experience in managing, coaching, or leading AI/ML engineering teams and delivering enterprise AI initiatives. Experience with responsible AI, model risk management, regulatory compliance, and platform modernization is desirable.
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