What are the responsibilities and job description for the Senior Machine Learning Engineer position at Altea Healthcare?
Senior Machine Learning Engineer, MLOps
ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient / post-acute care. We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable ML models, including predictive / classification and NLP / NLU models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI / ML product features to improve care delivery and quality for post-acute patients.
Responsibilities :
- Develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare
- Write efficient, maintainable, and scalable Python code
- Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code
- Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining
- Build high-performance deployment architectures and model monitoring systems
- Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles
- Maintain best practices of MLOps practices within the healthcare industry
- Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.
Requirements :
Job Type : Full-time
Pay : $150,000-$170,000 DOE and benefits and extremely valuable startup stock options
Schedule : Full Time
Salary : $150,000 - $170,000
