Senior MLOps Engineer

As a Senior MLOps Engineer at Jaipur Robotics, you will play a crucial role in designing and operating the infrastructure behind ML systems, focusing on productionizing computer vision and perception pipelines at scale on GCP. Your responsibilities will include:

• Own ML infrastructure on GCP across multiple production deployments
• Build and operate end-to-end ML training/inference pipelines
• Collaborate directly with founders and R&D engineers on core systems
• Contribute to scaling real-world AI systems used in industrial environments
• Implement competitive salary and stock options

Key Responsibilities:

Requirements:

• Strong experience with GCP (Cloud Run, GKE, GCS, Pub/Sub, IAM)
• Experience building CI/CD pipelines (GitHub Actions or similar)
• Experience with Docker and Kubernetes (GKE) in production
• Experience building data pipelines (Apache Beam / Dataflow)
• Solid understanding of ML lifecycle
• Familiarity with streaming pipelines and real-time systems
• Experience operating in production with failure handling and debugging
• Strong programming skills in Python

Key Responsibilities:

Requirements:

• Strong experience with GCP (Cloud Run, GKE, GCS, Pub/Sub, IAM)
• Experience building CI/CD pipelines (GitHub Actions or similar)
• Experience with Docker and Kubernetes (GKE) in production
• Experience building data pipelines (Apache Beam / Dataflow)
• Solid understanding of ML lifecycle
• Familiarity with streaming pipelines and real-time systems
• Experience operating in production with failure handling and debugging
• Strong programming skills in Python