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.