Career Opportunity

2 weeks ago

Jodhpur, Rajasthan, India beBeeSoftware Full time ₹ 80,00,000 - ₹ 1,20,00,000

About a leading industrial automation company.

Job Title: CV/Machine Learning Engineer

Job Description

We are looking for a highly skilled engineer to own software modules for on-device video capture, preprocessing, inference, and post-processing on Linux. The ideal candidate will implement classical image processing pipelines and computer vision algorithms such as keypoint detection, homography estimation, optical flow, and tracking.

The successful candidate will build and optimize distance/spacing estimation from monocular/stereo cameras using calibration, geometry, and depth-estimation networks. They will also integrate machine learning models (PyTorch/TensorFlow to ONNX/TensorRT/NNAPI/NPU runtimes) for various events such as drowsiness, distraction/gaze, phone-usage, smoking, and seat belt usage.

The chosen candidate will hit real-time targets on CPU/GPU/NPU using SIMD/NEON, multi-threading, and zero-copy buffers. They will write clean, testable C++ code, create CMake builds, and manage Git-based workflows including branching, PRs, code reviews, and CI.

The selected individual will instrument logging/telemetry, debug with gdb/addr2line, sanitize, and profile with perf/valgrind. They will collaborate with data/ML teams on dataset curation, labeling specs, training/evaluation, and model hand-off.

Required Skills and Qualifications
  • A minimum of 2 years of hands-on experience in modern C++ on Linux
  • Strong Git and CMake skills
  • Solid image processing and computer vision foundations
  • Practical experience integrating CV/ML models on device
  • Experience building real-time pipelines for live video
  • Multithreading/concurrency expertise
  • Comfort with debugging & profiling on Linux targets
  • Knowledge of monocular depth estimation, stereo matching, or structure from motion
  • Model training exposure (PyTorch/TensorFlow)
Benefits

The ideal candidate should have basic familiarity with MQTT/IoT, message schemas, and over-the-air updates.

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