Vacancy description
Mesitus
India, Bengaluru
Clinical Image/Audio AI Engineer - Computer Vision in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Key Responsibilities:- Develop, train, and optimize production-grade computer vision models - object detection, instance segmentation, classification, and tracking.- Deploy and optimize models on embedded AI platforms and edge devices for low-latency, real time inference.- Build and integrate end-to-end CV pipelines into IoT systems and edge-to-cloud architectures.- Apply model optimization techniques - quantization, pruning, distillation, and hardware acceleration - to meet edge constraints.- Establish and maintain robust MLOps practices: CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines.- Benchmark and profile model performance (latency, throughput, memory, power) across target hardware.- Collaborate with hardware, firmware, and product teams to ship reliable, scalable edge AI solutions.- Maintain high standards of code quality, documentation, and reproducibility across the model https://jobeax.com/link/DjviyiPa6OtRi0au Skills & Experience:- 3 - 8 years of hands-on experience in computer vision and deep learning.- Strong proficiency in Python and CV / DL frameworks (PyTorch, TensorFlow, OpenCV).- Proven track record building and deploying production-grade CV models.- Deep expertise in instance segmentation and real-time CV systems.- Hands-on embedded AI / edge deployment experience (e.g., NVIDIA Jetson, TensorRT, OpenVINO, Coral, ARM-based platforms).- Experience with IoT architectures and edge-cloud integration.- Strong MLOps skills: CI/CD, containerization (Docker), model registries, monitoring, and automated retraining.- Solid understanding of model optimization for constrained hardware (quantization, pruning, compression).Nice to Have:- C++ for performance-critical inference paths.- Familiarity with cloud ML workflows (AWS / Azure / GCP).- Exposure to ONNX, GStreamer, or NVIDIA DeepStream pipelines.- Knowledge of MQTT or other IoT messaging protocols.- Experience with Kubernetes / Kubeflow for ML https://jobeax.com/link/iTdK4LCtrwE4D7Px We Offer:- Opportunity to work on cutting-edge edge AI and real-time vision products.- A collaborative, hands-on engineering culture based in Chennai.- Ownership of the full model lifecycle, from research to production. (ref:hirist.tech)
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