Machine Learning Engineer

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

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 Youll 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 Were 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

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 evi...

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 Youll 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 Were 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