AI Computer Vision Consultant

2 days ago


Bengaluru, Karnataka, India Artificial Intelligence Global Company Full time ₹ 12,00,000 - ₹ 36,00,000 per year

AIGC is 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 – Manyata Tech Park

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



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