MLOps Engineer

7 days ago

Bengaluru, Karnataka, India Rayvector Technologies Full time

About the Role

We are looking for an MLOps Engineer with
3–5 years of experience (including 0–3 years in AI/ML engineering)
to help build, deploy, and maintain our machine learning solutions. This role focuses on deploying AI models to edge devices and integrating them with our C++ backend systems. You will work closely with ML, C++, and embedded engineering teams to ensure smooth and reliable production operations.

Key Responsibilities

  • Deploy and optimize ML models on edge devices (ARM boards, Jetson, etc.).
  • Convert and package models for C++ integration (ONNX, TensorRT, TFLite).
  • Automate ML workflows including training, testing, and deployment.
  • Build and maintain CI/CD pipelines for Python and C++ components.
  • Monitor model performance on devices—latency, drift, accuracy, resource usage.
  • Support data pipelines for collecting field data from edge devices.
  • Manage model versioning, tracking, documentation, and release processes.

Required Skills

  • Strong Python skills and working knowledge of C++ integration.
  • Experience with deploying models on edge/embedded hardware.
  • Familiarity with ONNX Runtime, TensorRT, TFLite, or similar optimization tools.
  • Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins).
  • Understanding of ML workflows and model lifecycle.
  • Good communication and documentation skills.
  • Experience with real-time systems or embedded environments.
  • Knowledge of lightweight orchestrators.
  • Experience building telemetry/monitoring for edge devices.

What You Will Achieve

  • Reliable, fast, hardware-optimized ML deployments on edge devices.
  • Smooth integration of ML models with C++ backend systems.
  • Automated, repeatable, and stable ML operations across the full lifecycle.

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