14 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the transformation of Openreach’s legacy Taskforce Scheduling Platform into a modern, AI-driven, cloud-native platform.
- Design and deliver intelligent scheduling capabilities for deploying more than 20,000 field engineers across varied work types and operational constraints.
- Drive technology decisions that improve operational efficiency, customer experience, scalability, and business outcomes.
- Apply machine learning, predictive analytics, generative AI, reinforcement learning, operations research, workforce optimization, constraint-based scheduling, route optimization, and mathematical modeling.
- Design high-performance systems and improve performance, observability, and operational reliability.
Requirements
- Strong experience with 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.
- Experience with feature stores, vector databases, and data lakes is desirable.
- Knowledge of MLOps and AI model lifecycle management frameworks and best practices is desirable.
- Familiarity with agentic AI frameworks and knowledge graphs is desirable.
- Ability to solve complex optimization problems, work in ambiguity, challenge existing approaches, and balance innovation with practical delivery.
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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.