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Data Freelance Hub

Machine Learning Specialist

Data Freelance Hub, Atlanta, Georgia, United States, 30383

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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) #TensorFlow #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 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

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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