Machine Learning Specialist
Listed on 2026-01-09
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Analyst
This role is for a Machine Learning Specialist with 8+ years of experience in machine learning, NLP, and healthcare data. Contract length is unspecified, pay is $60-$75 per hour, and it requires strong Python skills and familiarity with AWS.
United States
$ USD
600
January 6, 2026
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On-site
W2 Contractor
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Atlanta, GA
#NLP (Natural Language Processing) #PyTorch #Deep Learning #Regression #AWS (Amazon Web Services) #ML (Machine Learning) #Python #AI (Artificial Intelligence) #Tensor Flow #Documentation #Deployment
Candidate must be open to W2 employment. Candidate must be visa independent. We are not sponsoring any work visa.
We are seeking a highly skilled Machine Learning Engineer with healthcare domain experience.
Qualifications- More than 8 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, with good clinical and claims knowledge
- Strong Python skills; experience with PyTorch or Tensor Flow
- Familiarity with Hugging Face 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 Type: Contract
Pay: $60.00 - $75.00 per hour
Application Question(s):
Are you open to W2 employment? We are not working on 1099 or Corp‑Corp.
Experience:
Machine learning: 7 years (Required)
Work Location:
In person
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