Description

Machine Learning Engineer based in Alpharetta, GA.

Responsibilities

• Develop, fine-tune, and optimize LLMs and deep learning models for production use.
• Write high-quality prompts and training examples to shape model behavior.
• Design and maintain instruction orchestration and evaluation workflows.
• Build training pipelines, manage datasets, and execute automated tests to validate AI outputs.
• Analyze model performance, identify failure patterns such as hallucinations, and drive improvements.

Required Skills

• 7+ years of experience in machine learning, NLP, or deep learning.
• Hands-on experience with LLMs (GPT, LLaMA, Mistral) in applied or production contexts.
• Required healthcare data experience, including working knowledge of healthcare datasets.
• Strong Python skills with experience in PyTorch or TensorFlow.
• Familiarity with HuggingFace tools and modern model-training workflows.
• Experience evaluating AI output quality, reliability, and consistency.
• Experience designing automated evaluation, regression testing, or benchmarking pipelines.
• Experience optimizing LLM workloads on AWS, including GPU utilization and cost-efficient inference.

Preferred Skills

• Ability to work with minimal direction and take ownership in ambiguous problem spaces.
• Excellent communication skills for technical documentation and evaluation artifacts.

Key Skills

Education

Any Gradute