To advance healthcare outcomes and operational excellence, the full-time Senior MLOps & Generative AI Engineer will design and implement scalable ML infrastructure and Generative AI applications while working remotely in various states.
Key Responsibilities
Design, build, and maintain scalable ML infrastructure and deployment pipelines for model lifecycle management
Lead the architecture and deployment of secure, production-ready Generative AI solutions using LLMs and RAG pipelines
Collaborate with cross-functional teams to operationalize AI/ML and Generative AI solutions at enterprise scale
Required Qualifications
5+ years of experience in building and deploying production software, ML systems, or AI platforms
1+ years of hands-on experience with production Generative AI or LLM-based applications
Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
Experience with implementing RAG architectures and vector databases
Experience deploying AI/ML systems in cloud environments like AWS, Azure, or GCP