Data Scientist

Description :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. (ref:hirist.tech)