AI Resume Builder
JOIN NOW Post Job
Insight Global
AI

Senior Machine Learning Engineer

Insight Global · · $191k

Actively hiring Posted 4 months ago

Title
: Lead AI/ML Engineer

Duration
: PERMANENT (6mo contract-to-hire)

Location
: 100% Remote, CST 'day shift' schedule

Compensation
: $48.07-$76.92/hr approx.

  • Conversion Salary: $100-160k/yr (some flex)

Benefits
: through IG while on contract, client FTE package upon conversion

Onboarding Requirements
: Background Check, Health Screens/Drug Test, Standard Paperwork, ID Verification

Interview Process
: 2 Rounds (30 min MS Teams)

Start Date
: end of March 2026 approx.

Why Open
: They are opening a Health Intelligence Platform; need net new resource to assist build it out + support it long term

Auth
: USC/GC (client is unable to provide sponsorship now or any points in the future)

Must Haves

  • 5yrs+ AI/ML Engineering
  • Hands-on experience with Azure MLOps, including AI Foundry.
  • Strong knowledge of model registries and LLM usage (selection, versioning, lifecycle).
  • Experience with AI agent technologies in production environments.
  • Focus on platform enablement over one-off model development.
  • Experience supporting large-scale AI/ML data environments.
  • Proficiency with structured and unstructured data.
  • Solid understanding of Fabric, AI Foundry, and MLOps workspace integration.
  • Experience with real-time or near–real-time data pipelines.
  • Ownership of governance, security, and provisioning controls.
  • Background in a regulated environment.

Plusses

  • Healthcare experience
  • Hands on expertise within Epic/FHIR/HL7
  • MS Purview expertise

Summary

A leading academic health institution is seeking a senior-level AI/ML platform engineer leader with hands-on experience in Azure MLOps, AI Foundry, and Microsoft Fabric (from an AI/ML perspective), deep understanding of model registries, LLM usage, and agent technologies, proven ability to work with large-scale structured and unstructured data (including Epic systems), and strong architectural expertise in securely connecting Fabric, AI Foundry, and MLOps for real-time data flows, governance, and compliance—someone who collaborates closely with infrastructure and DevOps teams to build secure, reusable patterns, enable others to develop models, implement governed registries and access controls, translate regulatory requirements across industries into practical standards, and bring an ownership mindset and leadership potential as the first AI/ML platform hire.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Ai Engineer Machine Learning Mlops Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support