Role : The AI Product Leader will lead RMSIs technology strategy, AI/ML innovation and product engineering initiatives, with a focus on developing scalable, production-ready geospatial intelligence solutions. The role will combine AI/ML, computer vision, GIS technologies and cloud-native architecture to automate mapping, improve network planning, extract insights from geospatial data and deliver differentiated technology solutions across Utilities, Mapping, Telecom and Sustainability.Responsibilities : 1. AI/ML Technology Strategy and Productization : - Define and execute the AI/ML technology roadmap in alignment with business priorities and product strategy.- Drive the development, productization and commercialization of AI-powered geospatial solutions across Utilities, Mapping, Telecom and Sustainability.- Identify opportunities to apply Machine Learning, Deep Learning, Generative AI and intelligent automation to solve business problems and enhance geospatial products and services.- Lead the development of scalable, reusable AI/ML capabilities that improve operational efficiency, automate workflows and deliver differentiated technology solutions.2. AI/ML Engineering and Computer Vision : - Lead the design and implementation of AI/ML solutions using computer vision, image processing, predictive analytics and deep learning techniques.- Drive automated feature extraction, object detection, image classification and semantic segmentation using satellite, aerial, LiDAR and other geospatial datasets.- Guide the selection, evaluation, optimization and deployment of suitable AI/ML models based on accuracy, scalability, performance and business requirements.- Evaluate the application of LLMs, Retrieval-Augmented Generation (RAG) and AI agents/Agentic AI for intelligent workflows, data interpretation and process automation.3. Geospatial AI and Solution Architecture : - Design and oversee end-to-end architectures integrating GIS platforms, geospatial data pipelines, AI/ML models,



APIs and enterprise applications.- Drive AI-enabled mapping, automated feature extraction, asset identification, network design and planning, and geospatial data validation.- Lead the design and implementation of AI-enabled solutions for UN Migration, leveraging geospatial intelligence, spatial analytics and predictive modelling to support relevant business and operational requirements.- Ensure solutions can process large-scale spatial datasets and support reliable, scalable and efficient production workflows.4. Cloud, AI Platform Engineering and MLOps : - Lead the development of scalable AI/ML platforms and cloud-based solutions using Microsoft Azure and/or AWS.- Establish engineering practices for model deployment, monitoring, versioning, performance evaluation and continuous improvement (MLOps).- Guide the use of Python, PyTorch/TensorFlow, distributed processing frameworks and contemporary deployment technologies, as appropriate to the solution architecture.- Ensure production solutions meet requirements for scalability, reliability, security, maintainability and cost efficiency.5. Technical Leadership and Business Partnership : - Work closely with business leaders, product teams and clients to translate market needs into technical roadmaps, solution designs and product capabilities.- Participate in client presentations, solution demonstrations, bids and RFPs, providing technical leadership and solution feasibility assessments.- Build and mentor multidisciplinary teams comprising AI/ML engineers, data scientists, GIS specialists and solution architects.6. Technology Governance and Innovation :



- Establish standards for AI/ML development, model validation, responsible AI, data governance and technology security.- Evaluate emerging technologies and identify opportunities to improve automation, productivity, solution quality and competitive differentiation.- Promote reusable architecture, engineering best practices and continuous technology innovation.Required Technical Expertise : - Strong understanding of Machine Learning, Deep Learning, Computer Vision and AI/ML product engineering.- Experience with computer vision techniques such as object detection, image classification and semantic segmentation.- Familiarity with geospatial AI applications, including satellite/aerial imagery analysis, LiDAR processing, automated feature extraction or GIS-based analytics.- Working knowledge of Python and at least one major deep learning framework, such as PyTorch or TensorFlow.- Experience with cloud-based AI/ML platforms, preferably Microsoft Azure and/or AWS.- Understanding of MLOps, model deployment, monitoring and production AI lifecycle management.- Knowledge of scalable data pipelines, APIs, distributed computing and cloud-native solution architecture.- Exposure to Generative AI, LLMs, RAG or AI agents is desirable.Skills and Qualification : - Bachelors or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering or a related discipline.- 12+ years of relevant technology/product development experience, with substantial exposure to AI/ML solutions and technical leadership.- Proven experience taking AI/ML solutions from concept or prototype through production deployment and productization.- Experience leading cross-functional engineering teams and managing technology roadmaps.- Strong business communication, stakeholder management and client-facing capabilities.- Willingness to travel within India and internationally. (ref:hirist.tech)

📌 RMSI - AI Product Leader - Geospatial Intelligence (Noida)
🏢 RMSI
📍 Noida