AI Computer Vision Consultant

looking for an experiencedAI Computer Vision Consultantto join our innovative team in Bangalore. If you’re passionate about AI, Machine Learning, and real-world Computer Vision applications, this is your chance to make an impact in the Energy, Oil & Gas, Petrochemicals, Utilities, and Manufacturing sectors. Location: Bangalore – Experience:12+ years overall (8+ in AI/ML & Computer Vision) Minimum 1 2 years of overall industry experience with at least 8 years in AI/ML and Computer Vision. • At least 3 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). Demonstrated experience in technical consulting, RFP responses, proposal writing, and client management. • Prior experience in managing and delivering AI/ML projects, including team and timeline management. • Experience in the delivery of end-to-end analytical solutions (analyze, design, implement, test, and deploy) and implementation of AI and Advanced Analytics projects for Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries. • Experience in leading a team and training young data scientists. • Good understanding of the AI ecosystem and capabilities • Exposure to data transformation and data structuring as part of model building • Building simple yet best-fit solution design or logic design for complex data challenges or industry use cases. • Hands-on experience with DevOps & ML Operation tools including version control tools such as GIT. • Understanding of information systems security and network architecture • Excellent analytical and problem-solving skills • Ability to face and interact with clients and deliver technical solutions demonstrations and presentations. • Experience in industrial computer vision applications using AI for tasks such as object detection and tracking. • Experience working with GIS aerial drone-based and satellite-based data analytics and modeling for anomaly detection is nice to have. • Experience in Computer Vision applications for corrosion monitoring of industrial assets and pipes is a plus. • Experience in the latest computer vision frameworks for pre-trained models and transfer learning. • Experience in industrial automation use cases using computer vision AI. • Certification in AI / Data Analytics / Deep Learning is desired. • Experience in real-time (e.g., video, CCTV camera streams) video analytics pipeline. • Process or Power industry experience is desired. • Experience in cloud deployment platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) is nice to have. • Good in documentation practices, writing reports, and project protocols. • High level of technical aptitude • Microsoft Office and technical presentation skills. 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