Talent.com
No longer accepting applications
Cv / Ml Software Engineer

Cv / Ml Software Engineer

A Top Industrial Automation Company which is part of a Top Engineering GroupTrichūr, Republic Of India, IN
1 day ago
Job description

About the Company : A Top Industrial Automation Company which is part of a Top Engineering Group

Key Responsibilities

  • Own C++ software modules for on device video capture, preprocessing, inference, and post processing on Linux.
  • Implement classical image processing pipelines (denoise, resize, color space, undistortion) and CV algorithms (keypoints, homography, optical flow, tracking).
  • Build and optimize distance / spacing estimation from monocular / stereo camera(s) using calibration, geometry, and / or depth‑estimation networks.
  • Integrate ML models (PyTorch / TensorFlow → ONNX / TensorRT / NNAPI / NPU runtimes) for DMS / ADAS events : drowsiness, distraction / gaze, phone‑usage, smoking, seat belt, etc.
  • Hit real time targets (FPS / latency / memory) on CPU / GPU / NPU using SIMD / NEON, multithreading, zero copy buffers.
  • Write clean, testable C++, CMake builds, and Git based workflows (branching, PRs, code reviews, CI).
  • Instrument logging / telemetry;

debug with gdb / addr2line, sanitize and profile with perf / valgrind.

  • Collaborate with data / ML teams on dataset curation, labeling specs, training / evaluation, and model handoff.

    • Role Expectations

  • 2+ years hands on in modern C++ on Linux, with strong Git and CMake .
  • Solid image processing and computer‑vision foundations (camera models, intrinsics / extrinsics, distortion, PnP, epipolar geometry).
  • Practical experience integrating CV / ML models on device (OpenCV + ONNX Runtime / TensorRT / NCNN / MediaPipe / NNAPI).
  • Experience building real time pipelines for live video (GStreamer / FFmpeg, RTSP / RTMP, ring buffers), optimizing for latency & memory .
  • Competence in multithreading / concurrency , lock free queues, and producer–consumer designs.
  • Experience with driver monitoring or ADAS features;

    • event logic and thresholding for production alerts.

  • Knowledge of monocular depth estimation, stereo matching, or structure from motion for distance estimation .
  • Model training exposure ( PyTorch / TensorFlow ) : augmentation, evaluation (precision / recall, ROC / PR), quantization / pruning, conversion to ONNX / TensorRT / NCNN.
  • Hardware acceleration (GPU / VPU / NPU, Arm NEON / DSP), YOLO / RT DETR / Lightweight backbones on edge.
  • Cross compiling, Yocto / Buildroot, containerized toolchains;

    • unit tests (gtest), static analysis (clang tidy, cppcheck), sanitizers.

  • Basic familiarity with MQTT / IoT , message schemas, and over the air updates.

    • Please share your resumes at bhawna@marketscope.in

    Create a job alert for this search

    Ml Engineer • Trichūr, Republic Of India, IN