What are the responsibilities and job description for the Machine Learning Engineer position at Enormous Enterprise LLC?
Company
Enormous Enterprise LLC
Location:
Alpharetta, GA, 30009
Pay
DOE
Posted
January 05, 2026
Apply
Description
Machine Learning Engineer
Remote Role : Alpharetta Georgia 30009
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 AI evidence engine
focused on LLM
2 rounds of Zoom interview then offer.
What You’ll Do
Enormous Enterprise LLC
Location:
Alpharetta, GA, 30009
Pay
DOE
Posted
January 05, 2026
Apply
Description
Machine Learning Engineer
Remote Role : Alpharetta Georgia 30009
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 AI evidence engine
focused on LLM
2 rounds of Zoom interview 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
- 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