Artificial Intelligence Engineer

As an Artificial Intelligence Engineer at our company, you will be responsible for designing, developing, and deploying cutting-edge AI solutions. Your role will involve working closely with software engineers, data scientists, solution architects, and product teams to build scalable AI-driven products, enterprise-grade solutions, and intelligent video analytics platforms. Key Responsibilities: - Design, develop, and optimize AI and machine learning models for business applications. - Build and deploy Generative AI and LLM-powered solutions. - Develop AI Agents, RAG-based applications, and intelligent automation workflows. - Design and implement Computer Vision and Video Analytics solutions. - Build models for Object Detection, Object Tracking, Activity Recognition, Anomaly Detection, and Image Classification. - Develop real-time AI-powered video processing pipelines for surveillance, safety, operational intelligence, and enterprise applications. - Train, evaluate, and fine-tune machine learning and deep learning models. - Design and implement Natural Language Processing (NLP) pipelines. - Develop scalable APIs and AI services using modern frameworks. - Collaborate with cross-functional teams to integrate AI capabilities into production environments. - Monitor model performance, conduct experiments, and optimize inference efficiency. - Write clean, maintainable, and production-ready code. - Participate in code reviews, technical discussions, and architecture decisions. - Stay updated with the latest AI research, frameworks, and industry trends. Required Qualifications: - Hands-on experience in Computer Vision and Video Analytics projects. - Experience building Object Detection, Tracking, Segmentation, and Image Classification models. - Practical experience working with video streams, CCTV analytics, or real-time video processing solutions. - Experience with OpenCV and deep learning frameworks for vision-based applications. In addition to the key responsibilities and qualifications mentioned above, our company focuses on Computer Vision & Video Analytics projects. We work with technologies such as OpenCV, YOLO (v5/v8/v11), Detectron2, MMDetection, TensorRT, ONNX Runtime, NVIDIA DeepStream (Preferred), Object Detection, Object Tracking, Image Classification, Image Segmentation, OCR, Face Recognition, Activity Recognition, Anomaly Detection, Real-Time Video Analytics, CCTV Analytics & Smart Surveillance. Preferred Experience: Candidates with experience in one or more of the following domains will be highly preferred: - Video Analytics Platforms - Smart Surveillance Systems - Retail Analytics - Industrial Safety Monitoring - Manufacturing Quality Inspection - Traffic Analytics - Smart City Solutions - Drone Analytics - Security Operations & Monitoring - Edge AI Deployments As an Artificial Intelligence Engineer at our company, you will be responsible for designing, developing, and deploying cutting-edge AI solutions. Your role will involve working closely with software engineers, data scientists, solution architects, and product teams to build scalable AI-driven products, enterprise-grade solutions, and intelligent video analytics platforms. Key Responsibilities: - Design, develop, and optimize AI and machine learning models for business applications. - Build and deploy Generative AI and LLM-powered solutions. - Develop AI Agents, RAG-based applications, and intelligent automation workflows. - Design and implement Computer Vision and Video Analytics solutions. - Build models for Object Detection, Object Tracking, Activity Recognition, Anomaly Detection, and Image Classification. - Develop real-time AI-powered video processing pipelines for surveillance, safety, operational intelligence, and enterprise applications. - Train, evaluate, and fine-tune machine learning and deep learning models. - Design and implement Natural Language Processing (NLP) pipelines. - Develop scalable APIs and AI services using modern frameworks. - Collaborate with cross-functional teams to integrate AI capabilities into production environments. - Monitor model performance, conduct experiments, and optimize inference efficiency. - Write clean, maintainable, and production-ready code. - Participate in code reviews, technical discussions, and architecture decisions. - Stay updated with the latest AI research, frameworks, and industry trends. Required Qualifications: - Hands-on experience in Computer Vision and Video Analytics projects. - Experience building Object Detection, Tracking, Segmentation, and Image Classification models. - Practical experience working with video streams, CCTV analytics, or real-time video processing solutions. - Experience with OpenCV and deep learning frameworks for vision-based applications. In addition to the key responsibilities and qualifications mentioned above, our company focuses on Computer Vision & Video Analytics projects. We work with technologies such as OpenCV, YOLO (v5/v8