Machine Learning Engineer

Job Title : Senior Machine Learning Engineer, GenAI

Location : On-Site, Houston, TX if you are located in Houston, TX. We also consider exceptional candidates for remote work flexibility (if you are not located in Houston, TX area) .

Employment Type : Full-Time

Compensation : $135,000-$165,000 USD

ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient / post-acute care. We are seeking a mid-level and a senior or lead-level Machine Learning Engineer to join our team. The ideal candidate will have a strong background in developing and deploying scalable GenAI solutions. 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 AI / 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, data engineers, front end, back-end developers to write production-ready code
• Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining
• Design, implement, and maintain production-grade FastAPI services to serve and integrate ML models securely and at scale.
• Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles
• Maintain best software engineering and MLOps practices within the healthcare industry
• Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements

Additional responsibilities for the senior / lead level :

Key Responsibilities and Qualifications :

Other Requirements :

Job Type : Full-time

Pay : Competitive pay, benefits, and extremely valuable startup stock options