Senior AI Platform Engineer
Core
Architect, design, and build robust AI/ML systems and backend distributed microservices for a production healthcare environment.
Role type
Senior IC ML Ops Engineer
Builds
Scalable machine learning platforms and healthcare solutions
Domain
Healthcare + Distributed Systems / MLOps
Deliverable
production ML models
Required skills
Python, Java/Go, Docker, Kubernetes, microservices architecture, SQL/NoSQL, Spark, LLM/GenAI implementation
Preferred skills
Architectural frameworks for large-scale ML applications, MLOps lifecycle management
Technologies
Python, Java, Go, Docker, Kubernetes, Spark, SQL, NoSQL
Responsibilities
Architect and build efficient AI/ML systems for production; Lead cross-functional initiatives for Data, Infra, and ML Engineering; Optimize workflows for model training, real-time inference, and monitoring; Define and enforce SLAs for system performance; Develop tools for model management and lifecycle efficiency; Mentor team members on ML infrastructure.
Seniority
Senior, hands-on IC