2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the transformation of Openreach’s Taskforce Scheduling Platform from a legacy scheduling solution to a modern, AI-driven, cloud-native platform.
- Design and deliver intelligent scheduling capabilities that optimize the deployment of more than 20,000 field engineers across multiple work types and operational constraints.
- Drive technology decisions that improve operational efficiency, customer experience, and business outcomes.
- Apply engineering, data science, AI, and optimization expertise to complex workforce planning and operational challenges.
Requirements
- Strong experience in machine learning, predictive analytics, and generative AI/LLM-based decision-support solutions.
- Expertise in reinforcement learning, operations research, workforce optimization, constraint-based scheduling, route optimization, and mathematical modeling.
- Proficiency in Java, Python, high-performance system design, performance optimization, DevSecOps, CI/CD, and observability/SRE practices.
- Desirable experience with feature stores, vector databases, data lakes, MLOps, AI model lifecycle management frameworks, agentic AI frameworks, and knowledge graphs.
- Ability to solve complex optimization problems, work in ambiguity, think holistically about systems, and balance innovation with practical delivery.
- Curiosity, continuous learning, a product-focused mindset, and passion for applying AI to real-world challenges at scale.
Categories
About BT
BT Group builds and operates telecom networks and digital services for consumers, enterprises, and public‑sector clients, selling broadband, fixed-line voice, mobile (via EE), and managed network, cloud, and cyber security services. It is headquartered in London and listed on the London Stock Exchange, with American depositary shares on the NYSE. BT also owns Openreach, which manages the UK’s fibre and copper access network used by multiple retail providers.