AI-Driven ML Lead Engineer

CAI Cox Automotive Corp Svcs., LLC

Atlanta (GA)

On-site

USD 134,900 - 224,900

Full time

14 days+

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Benefits offered by this job

Flexible vacation policy
Health insurance (medical, dental, vision)
401(k) retirement planning
Paid wellness time

Job summary

CAI Cox Automotive Corp Svcs., LLC is looking for a visionary Machine Learning Lead Engineer in Atlanta, Georgia, to spearhead innovative ML initiatives. The role involves managing ML development, designing robust pipelines, and optimizing model performance while collaborating cross-functionally to drive organizational innovation.

The ideal candidate will have a Bachelor’s degree and 6 years of experience in Machine Learning, alongside strong proficiency in AI development tools. The position also offers a flexible vacation policy along with comprehensive health benefits.

Qualifications

  • Current authorization to work in the U.S. without sponsorship.
  • 6 years’ experience in Machine Learning or equivalent.
  • Expertise in multiple ML domains and familiarity with emerging research.

Responsibilities

  • Lead experimental ML initiatives and drive innovation.
  • Accelerate ML development using AI tools.
  • Design and maintain ML models and pipelines.

Skills

AI development tools (GitHub Copilot, Claude, GPT‑4)
Agentic frameworks (AWS AgentSquad, AWS Strands, LangChain)
AI ethics and governance frameworks
Technical communication skills
Commitment to continuous learning

Education

Bachelor’s degree in a related discipline

Tools

Rally
Jira

Job description

CAI Cox Automotive Corp Svcs., LLC is looking for a visionary Machine Learning Lead Engineer in Atlanta, Georgia, to spearhead innovative ML initiatives. The role involves managing ML development, designing robust pipelines, and optimizing model performance while collaborating cross-functionally to drive organizational innovation.

The ideal candidate will have a Bachelor’s degree and 6 years of experience in Machine Learning, alongside strong proficiency in AI development tools. The position also offers a flexible vacation policy along with comprehensive health benefits.

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