Data Scientist Computer vision

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.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 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.