Machine Learning Engineer Job at DRC Systems, Atlanta, GA

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  • DRC Systems
  • Atlanta, GA

Job Description

Machine Learning Engineer

Remote Role : Alpharetta Georgia 30009 -100% REMOTE

W2 Candidates : with minimum validity of 12 months

Must have:

  • Need good clinical and claims knowledge
  • 7+ years of healthcare exp
  • 4+ years of experience in machine learning, NLP, or deep learning
  • They are working on an AI evidence engine
  • focused on LLM
  • 2 rounds of Zoom interviews then offer.

What You'll Do

  • Develop, fine-tune, and optimize LLMs and modern deep learning models
  • Write high-quality prompts, instructions, and training examples to shape model behavior
  • Design, implement, and maintain instruction orchestration and evaluation workflows for LLM-based systems
  • Build and maintain training pipelines, datasets, and evaluation workflows
  • Design and execute functional and automated tests to validate AI outputs and system behavior
  • Analyze model performance, identify failure patterns (e.g., accuracy gaps, hallucinations, edge cases), and drive improvements
  • Collaborate with engineering and product teams (and review partner or vendor work) to deploy and iterate on AI features
  • Contribute to the ongoing maintenance and improvement of existing AI systems

What We're Looking For

  • 7+ years of experience in machine learning, NLP, or deep learning
  • Hands-on experience with LLMs (GPT, LLaMA, Mistral, or similar) in applied or production contexts
  • Healthcare data experience is required, including working knowledge of:
  • Strong Python skills; experience with PyTorch or TensorFlow
  • Familiarity with HuggingFace tools and modern model-training workflows
  • Experience evaluating AI output quality, hallucination behavior, reliability, and consistency
  • Experience designing automated evaluation, regression testing, or benchmarking pipelines for AI systems
  • Ability to work with minimal direction, take ownership of problem areas, and operate effectively in ambiguous problem spaces
  • Excellent communication skills for writing prompts, instructions, technical documentation, and evaluation artifacts
  • Experience optimizing LLM and deep learning workloads on AWS, including model training, GPU utilization, and cost-efficient inference deployments

Job Tags

Remote work,

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