We are seeking a highly experienced and hands-on AI Specialist and Consultant with deep expertise in Computer Vision to lead, architect, and deliver end-to-end solutions across industrial and surveillance domains.

- The ideal candidate will have a strong technical background in CV tools and frameworks, extensive project delivery experience, and client-facing capabilities for proposal development and solution consulting.

- Exposure to broader AI domains such as Predictive Analytics, Generative AI, and Agentic AI is a strong advantage.

Roles and Responsibilities :

- Lead the architecture, design, development, and deployment of end-to-end computer vision applications, especially in industrial and CCTV, Drones, Fixed Camera-based scenarios.

- Translate customer requirements and RFPs into effective technical proposals, solutions, and delivery plans.

- Define and implement scalable architectures for edge-based and on-premise CV solutions, including integration with CCTV systems.

- Ensure production-readiness of applications through robust testing, optimization, and deployment strategies.

- Lead cross-functional project teams through full lifecycle delivery (requirements, design, development, deployment, and post-production support).

- Stay updated with the latest advancements in AI/ML, CV, and edge computing.

- Act as a technical consultant and subject matter expert during client meetings, solutioning workshops, and proposal discussions.

- Collaborate with pre-sales teams to develop technical responses to RFPs, scope of work, and implementation roadmaps.

- Support business development activities through thought leadership, PoCs, and demos.

- Contribute to expanding and sustaining the knowledge base through training and mentoring of peers and subordinates.

- Establish technical performance benchmark.

- Support the project team with estimates, schedules, and resource loading.

- Develop solution architecture and generate draft for design reviews.

- Help in developing project documentation and client training.

- Explore and recommend emerging technologies in Generative AI, Predictive Analytics, and Agentic AI that could complement CV applications.

(Nice to Have) :

- Should be able to analyze the images for an industrial complex like power plants, power distribution, refineries, petrochemicals, etc.

- Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection applications.

- Should be able to program the application to automate the detection.

- Should be well-versed in various imaging formats.

- Assist in the installation and running of product demonstrations.

- Test and reform algorithms to analyze video images and improve detection sensitivity.

- Evaluate various state-of-the-art computer vision algorithms and recommend the best fit on a case-to-case basis.

- Develop and automate applications to support routine inspection through drones.

- Port, implement, and optimize analytics and machine learning algorithms using special-purpose computing architectures.

- Support and bug fixing for active applications at client sites.

Experience :

- 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.

, 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.

, LLMs, image generation models).

- Agentic AI and AI pipeline orchestration.

Soft Skills:

- Strong Communication Skills: Ability to explain complex technical topics to non-technical stakeholders.

- Customer-Centric Mindset: Adept at understanding business requirements and aligning them with technical solutions.

- Problem Solving & Critical Thinking: Capable of designing robust and scalable solutions under constraints.

- Leadership & Mentoring: Ability to lead project teams and mentor junior team members.

- Collaboration & Teamwork: Works well across teams, functions, and geographies.

- Time Management: Effectively manages multiple priorities and deadlines in dynamic environments.