DevOps / MLOps Engineer - Robotics.
MerilGujarat, India1 day ago
Job descriptionDevelop and maintain data lakes with labeling and auto-labeling pipelines, including feature store design. Orchestrate training workflows using Kubernetes (K8s) and Slurm; manage experiment tracking and model registries. Deploy models on edge devices (Jetson / Orin, TPU, x86) with support for A / B testing and staged rollouts. Build systems for telemetry, health monitoring, remote assist, OTA updates, and security. Master’s or PhD in a relevant field, 5–10+ years of experience in infrastructure engineering for robotics or ML systems. Proven expertise in cloud and edge CI / CD pipelines, containerization, and GPU scheduling. Strong background in observability tools (Prometheus, Grafana), artifact / version control, and reproducibility practices. Experience integrating real-time operating systems (RTOS). Familiarity with safety-certified build pipelines. Training throughput and cost efficiency. Deployment latency and responsiveness. Mean Time to Recovery (MTTR). Rollout success rate across robotic fleets. Low-latency teleoperation and lab safety gate integration. Facility-wide OTA updates under network constraints. Compliance logging and traceability for regulated environments. Beyond Visual Line of Sight (BVLOS) fleet telemetry and geofence updates.
Job Title : DevOps / MLOps Engineer for Robotics
Location : Vapi, Gujarat
Employment Type : Full-Time
Overview
We are seeking an experienced
- DevOps / MLOps Engineer for Robotics
- to build and manage infrastructure for data management, training, testing, deployment, telemetry, and fleet operations. This role will ensure reliable, scalable, and secure pipelines that enable advanced robotics applications across humanoids, AGVs, cars, and drones.
Key Responsibilities
Must-Haves
Nice-to-Haves
Success Metrics
Domain Notes
Humanoids :
AGVs (Autonomous Ground Vehicles) :
Cars :
Drones :
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