AI/ML Engineer

About the job

Minimum 4+ years of overall industry experience in AI / ML and Computer Vision. • At least 1 or 2 full-lifecycle implementations of computer vision projects (from requirement gathering to production deployment). • Proven experience in industrial CV applications (e.g., quality inspection, process monitoring) and CCTV-based use cases (e.g., surveillance, anomaly detection). • Hands-on deployment of computer vision solutions on edge servers (e.g., NVIDIA Jetson, Intel NUC). Technical Skills & Competencies : Computer Vision Tools & Libraries : • OpenCV, TensorFlow, PyTorch, YOLO • Image and video processing, object detection, segmentation, pose estimation • Real-time CV systems, CCTV integration, RTSP stream processing • Coding different object detection neural network architectures such as CNN, R-CNN, Fast R-CNN, Faster R-CNN, SSD, and YOLO. Programming & Frameworks : • Strong in Python; knowledge of C++ is a plus • Familiarity with Edge AI frameworks (NVIDIA DeepStream, TensorRT, OpenVINO) Deployment & Architecture : • Edge computing architectures, Docker, Kubernetes, REST APIs • Cloud & on-premise hybrid deployment strategies (Azure, AWS, GCP) Other AI Skills (Nice to Have) : • Predictive Analytics, Time-Series Forecasting • Generative AI (e.g., LLMs, image generation models) • Agentic AI and AI pipeline orchestration