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