J

MLOps / AI Platform Engineer Subject Matter Expert

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Jobgether is seeking a seasoned MLOps practitioner to validate and refine an advanced reskilling pathway for experienced professionals. The ideal candidate will bring deep hands-on expertise in production ML systems and strong communication skills. This is a short-term, high-impact SME engagement focused on bridging the gap between real-world AI platform engineering practices and instructional design.

Key Highlights
Validate and refine an advanced reskilling pathway
Bridge the gap between real-world AI platform engineering practices and instructional design
Collaborate with instructional designers to ensure technical accuracy and industry relevance
Key Responsibilities
Review and validate competencies, learning objectives, and technical curriculum for an MLOps and AI Platform Engineering pathway
Assess instructional materials covering ML pipelines, model deployment, monitoring, and governance
Participate in a structured SME review cycle and provide consolidated, actionable feedback
Technical Skills Required
Python Data engineering fundamentals Cloud platforms (Azure) Azure ML AI platform engineering patterns Full model lifecycle management
Benefits & Perks
Competitive hourly compensation ($60-$75)
Flexible, remote, part-time engagement (15-20 hours/week)
Short-term project commitment (6-7 weeks) with defined scope and deliverables

Job Description

This is a short-term, high-impact SME engagement focused on validating and refining an advanced reskilling pathway that prepares experienced professionals for modern MLOps and AI platform engineering roles. You will bring deep hands-on expertise in production ML systems to ensure technical accuracy, realism, and appropriate difficulty across learning materials. The work is highly collaborative and advisory in nature, involving structured reviews of curriculum content, exercises, and governance frameworks. You will help bridge the gap between real-world AI platform engineering practices and instructional design for non-traditional learners transitioning into the field. Operating in a fully remote and flexible environment, you will contribute asynchronously while also participating in a focused review cycle. This role is ideal for a seasoned MLOps practitioner who enjoys shaping how complex technical concepts are taught and applied at scale.
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