Clinical Documentation- NLP / LLM Machine Learning Engineer

“Hi, one of our direct clients is hiring for a Clinical Documentation – NLP / LLM Machine Learning Engineer position. This is a contract-to-hire role. Please review the requirement below and reply with suitable resumes.”

Clinical Documentation- NLP / LLM Machine Learning Engineer
Location: Remote
Experience: 7+ yrs.
Skills: Python, PyTorch, Transformers, LLMs, prompt-based methods, agentic AI, PySpark, AWS, GitHub, experiment tracking tools, MLOps tools
Duration: 6+ Months

The Impact You ll Make in this Role
As a contractor, you will support the development and maintenance of deep learning models for medical document analysis. You will focus on training, evaluating, and troubleshooting models, processing large text datasets, and running experiments in our AWS environment. You will work with the technical lead to ensure model quality and deliverables, while operating independently in day-to-day execution.

You Will Make an Impact By:

• Training, fine-tuning, and evaluating deep learning models (transformers and related architectures)
• Processing, merging, and analyzing large-scale text datasets
• Troubleshooting model behavior, parameters, and training pipelines
• Running experiments and documenting results
• Deploying models into our AWS-based environment using established tools and workflows

Your Skills and Expertise Required Qualifications

• Strong Python skills, especially with PyTorch and Transformers
• Experience training and debugging deep learning models for text
• Solid grounding in statistics, EDA, and machine learning concepts
• Ability to work in AWS and use GitHub-based workflows
• Strong communication and ability to work independently

Preferred Qualifications

• Experience with LLMs, prompt-based methods, or agentic AI
• Familiarity with PySpark or large-scale ETL for textual data
• Experience with experiment tracking and MLOps tools
• Background in healthcare or medical text (nice to have, not required)