Job Title

OverviewDosti Global is developing a new SaaS product and we are looking for a Computer Vision & Machine Learning Engineer to design, build and help integrate the AI-powered visual monitoring.The role involves using cameras, drones, and mobile robotic systems to scan manufacturing environments and apply machine learning tools to detect safety issues, anomalies, and operational inefficiencies in real time.What You Will BuildA system that can:Detect safety violations (e.g., machine out of safety boundary, equipment unguarded)Identify operational issues (e.g., lights ON during off-hours, doors not locked)Monitor machine activity and utilizationTrack workflow progress via visual comparison (before vs after)Generate alerts and insights for dashboardsCore Responsibilities1. Computer Vision System DevelopmentBuild and train models for:Object detection (machines, people, safety zones)Anomaly detection (unexpected states/events)Activity recognition (machine running vs idle)Work with image/video data from cameras, drones, or mobile devices2. Edge AI & Data PipelineDeploy models on edge devices (e.g., NVIDIA Jetson Orin)Optimize models for real-time inferenceDesign pipeline: Camera/Drone → Edge Device → Cloud (Azure) → Dashboard3. Robotics / Camera IntegrationIntegrate with:Fixed industrial camerasMobile cameras / handheld devicesDrones (if applicable)Work with video streams (RTSP/WebRTC or similar)4. Model Training & OptimizationTrain models using frameworks like TensorFlow / PyTorchFine-tune models with real-world factory dataImprove accuracy, latency, and robustness5. System IntegrationCollaborate with backend/frontend teamsSend processed insights to APIs / dashboardsEnable alert systems (e.g., safety breach notifications)Required Skills & Experience3+ years of experience in:Computer Vision / Machine Learning2. Strong experience with:PythonOpenCVTensorFlow or PyTorch3. Experience with:Object detection models (YOLO, SSD, etc.)Image/video processing pipelines4. Understanding of:Real-time inference systemsModel deployment on edge devicesPreferred (Nice to Have)Experience with NVIDIA Jetson (Orin / Xavier)Familiarity with robotics systems or dronesKnowledge of RTSP streams / video pipelinesExperience with Azure IoT / cloud integrationBackground in industrial automation / manufacturing environmentsKey Deliverables- AI models for:Safety detectionAnomaly detectionActivity monitoring- Real-time video processing pipeline- Edge deployment (Jetson or similar)- Integration with Factory Pulse dashboardIdeal Candidate ProfileStrong problem solver with applied AI experience (not just theory)Has worked on real-world vision systems (CCTV, drones, robotics, etc.)Comfortable working across hardware + software boundariesCan take ownership of end-to-end AI pipeline