AI Computer Vision Consultant

3 weeks ago


Bengaluru Karnataka India, Karnataka Artificial Intelligence Global Company Full time

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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