Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
Develop and validate models using operational sensor data for failure prediction, asset(mechanical and electrical equipment) degradation monitoring, early-warning detection, remaining useful life estimation, and time-to-threshold forecasting.
Develop, implement and maintain AI and data frameworks, policies, and standard operating procedures (SOPs) aligned with ISD objectives and government data standards.
Build and operate the core knowledge graph and knowledge-management layer: ontology and metadata model, governed ingestion from enterprise sources, graph projection, and hybrid graph and vector retrieval
Client Needs Translation & Problem Framing:- Work with clients and senior teammates to analyze business challenges, map workflows (service blueprints) to better understand customer journey in order to identify gaps and opportunities for AI/ML use cases.
Drive efficient Import, Export, and Customs operations across the region by improving processes, standardizing workflows, and ensuring compliance with global, regional, and local regulations.
At Digital Place Vision (DPV), we’re a team of Visionaries on a mission to light up the retail world with intelligent AI. We're not just about tech; we’re all about seeing the future of retail and making it happen today. From smarter operations to better decisions, we’re here to turn your retail challenges into opportunities for growth.