Senior Machine Learning EngineerActive
The opportunity
The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and…
What you'll do
Architect and evolve a highly scalable, multi-tenant AI/ML platform that: seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration.
Design and implement robust production-grade AI Agents and Advanced Chatbots.: Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations.
Build high-throughput, low-latency application backends and orchestration: layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations.
Act as a technical anchor for the Data Science team: enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs.
Evaluate trade-offs and drive adoption of modern AI infrastructure tools,: optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\
