AI Computer Vision Consultant

looking for an experienced AI Computer Vision Consultant to 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 12 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