If youre 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.