Senior AI Platform Engineer
Core
Architecting, designing, and building robust, efficient AI/ML systems and backend distributed microservices for a production environment.
Role type
Senior IC ML Ops Engineer
Builds
Scalable machine learning platforms, model training workflows, and real-time inference systems
Domain
Healthcare technology + MLOps infrastructure
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 backend distributed systems and microservices; Lead cross-functional initiatives for model training and inference; Optimize ML workflows and ensure operational excellence; Develop tools for model management and monitoring; Mentor team members on ML infrastructure.
Seniority
Senior, hands-on IC