
ML Infrastructure Specialist
2 days ago
Job Overview
">Meril seeks an experienced engineer to build and manage infrastructure for data management, training, testing, deployment, telemetry, and fleet operations.
Key Responsibilities
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- Develop 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.">
Requirements
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- 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.">
Desirable Skills
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- Experience integrating real-time operating systems (RTOS).">
- Familiarity with safety-certified build pipelines.">
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