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hackajob is partnering with BT to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Lead, mentor, and develop you engineering team, fostering a culture of learning and collaboration.
Architect and build on BT’s MLOps stacks for fast, safe, and scalable ML/GenAI delivery with clear FinOps guardrails.
Design and implement production-grade ML/AI infrastructure, championing reusable patterns and best practices with Data Scientists, support, and engineering teams.
Embed FinOps, security, and data privacy into every stage of the ML/AI lifecycle.
Work closely with data scientists, engineers, and stakeholders to accelerate research-to-production using robust engineering practices and AI coding tools.
Define support strategies for long-term model health, including SLOs, drift monitoring, and feedback loops.
Lead deployment of LLM and GenAI services on platforms like Amazon Bedrock and Google Vertex AI.
Design and translate infrastructure for GenAI applications: vector databases, embeddings, retrieval/RAG, model gateways, GPU management, observability, and cost monitoring.
Promote experiment tracking and model management tools (e.g., Weights & Biases).
Ensure strong software engineering practices: code review, testing, documentation, and version control.
hackajob is partnering with BT to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.