onsite
Machine Learning Engineer - CommunityCare
ML Engineer
Machine Learning Engineer focused on healthcare and payer applications, building NLP, recommendation, and predictive models using Python and AWS services.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models for healthcare and payer use cases, including NLP, recommendation systems, and predictive analytics.
- Collaborate with cross‑functional teams to identify opportunities for AI integration across products and services.
- Collect, clean, and analyze large regulated datasets to train and refine models, ensuring compliance with data governance standards.
- Stay current with cutting‑edge research, translating findings into production‑ready solutions.
- Monitor model performance, troubleshoot issues, and iterate to improve accuracy and efficiency.
Requirements
- Proven experience in Python and machine learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
- Strong background in NLP techniques and medical claims data processing.
- Hands‑on experience with AWS services (SageMaker, S3, Lambda) for model deployment.
- Excellent analytical skills and ability to work with large, regulated datasets.
- Effective communicator, able to translate technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningnatural language processingaws