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CV / ML Software Engineer
A Top Industrial Automation Company which is part of a Top Engineering Groupkakinada, andhra pradesh, in30+ days ago
Job description2+ 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.
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
Please share your resumes at bhawna@marketscope.in
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Ml Engineer • kakinada, andhra pradesh, in
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