What are the responsibilities and job description for the Machine Learning Engineer position at DRC Systems USA LLC?
Job Details
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.