Senior ML Engineer - Healthcare AI & NLP

Capital Factory; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

401k

Job summary

Autonomize AI in Austin, TX is seeking a Senior Machine Learning Engineer to lead development and deployment of ML solutions focused on large language models (LLMs), vision models, and classic NLP in healthcare.

You will collaborate with data scientists, ML engineers, healthcare clients, and product managers to deliver scalable, compliant AI copilots and agents, while mentoring junior engineers and staying current with research.

Qualifications

• 5-7 years of experience in machine learning engineering, with production-grade models and pipelines in regulated environments such as healthcare.
• Hands-on experience with large language models (GPT, BERT), vision models, and classic NLP.
• Proficient in Python with ML libraries like TensorFlow, PyTorch, OpenCV.

Responsibilities

• Fine-tune or prompt engineer LLMs for healthcare applications across engagements.
• Develop vision-based data handling with state-of-the-art VLM models for medical documents and forms.
• Build and improve NLP models to support clinical documentation and patient interaction.
• Collaborate with data scientists, ML engineers, healthcare clients, and product managers to deliver robust solutions.
• Ensure models are deployed and integrated into healthcare systems with high performance and scalability.
• Mentor junior engineers and data scientists to foster learning and innovation.
• Test, validate, and tune models to ensure accuracy, reliability, and compliance with healthcare standards.

Skills

LLMs

Vision models

NLP

Python

TensorFlow

PyTorch

OpenCV

MLOps

LLMOps

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

MLflow

Kubeflow

Azure ML

SageMaker

Job description

Autonomize AI in Austin, TX is seeking a Senior Machine Learning Engineer to lead development and deployment of ML solutions focused on large language models (LLMs), vision models, and classic NLP in healthcare.

You will collaborate with data scientists, ML engineers, healthcare clients, and product managers to deliver scalable, compliant AI copilots and agents, while mentoring junior engineers and staying current with research.