Senior Machine Learning Engineer

Motion Recruitment

Charlotte (NC)

Hybrid

USD 140,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Medical Insurance
Dental Benefits
Vision Benefits
PTO
401(k) including company match
Bonus eligible

Job summary

Motion Recruitment in Charlotte, NC is seeking a Senior Machine Learning Engineer to help define architectures for scalable AI/ML systems and agentic workflows, with a focus on retrieval capabilities for a highly regulated professional-services environment.

You will take models from design to production, build enterprise-grade platforms, and collaborate with engineering teams to deliver secure, scalable AI solutions.

Qualifications

  • Strong experience with AI/ML and agentic workflows.
  • Strong experience with LLM and RAG architecture.
  • Experience with vector databases.
  • Exposure to MLOps.
  • Proficiency with Python.
  • Exposure to AWS and Kubernetes.

Responsibilities

  • Build and deploy advanced AI and machine learning models for professional research tools.
  • Design and improve large-scale, distributed ML systems and enterprise platforms.
  • Develop and integrate agent-based AI workflows and retrieval systems.
  • Collaborate with engineering teams to support scalable and secure AI solutions.

Job description

Motion Recruitment is hiring a Senior Machine Learning Engineer for a hybrid role based in Charlotte, NC. In this position, you will help define the architecture behind scalable AI/ML systems and agentic workflows, with a focus on building and deploying advanced AI models and retrieval capabilities for a highly regulated professional-services environment.

The work centers on taking models from design to production while improving enterprise-grade platforms that support secure, large-scale ML. The role also involves building agent-based workflows and integrating retrieval systems that align with the demands of regulated use cases.

What you’ll do
  • Build and deploy advanced AI and machine learning models for professional research tools
  • Design and improve large-scale, distributed ML systems and enterprise platforms
  • Develop and integrate agent-based AI workflows and retrieval systems
  • Collaborate with engineering teams to support scalable and secure AI solutions
Requirements
  • Strong experience with AI/ML and agentic workflows
  • Strong experience with LLM and RAG architecture
  • Experience with vector databases
  • Exposure to MLOps
  • Proficiency with Python
  • Exposure to AWS and Kubernetes
Technologies
  • Python
  • AWS
  • Kubernetes
Benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k), including company match where applicable
  • Bonus eligible
Desired skills & experience
  • Experience building technology for the legal, compliance, or another highly regulated industry
  • 12+ years of development experience, or 8+ years with a PhD
  • Degree in a relevant field
Work location

Hybrid work arrangement in Charlotte, North Carolina.

Work authorization

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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