Overview As Senior AI/ML Platform Engineer and Technical Lead, you will steer the AI/ML platform that powers intelligent capabilities across the organization. You'll lead a team of engineers, setting objectives and ensuring high-quality, timely delivery. You will synchronize platform sub-functions with enterprise standards, collaborating with Cloud, Cybersecurity, and Governance teams to maintain governance. Your work shapes scalable, well-governed engineering that advances the company's mission in science and technology.
You'll tackle complex operational challenges and drive real impact across products and platforms. Compensaciones / Beneficios culture of inclusion and belonging opportunities for growth diverse and inclusive team general collaboration focus on innovation employee development Responsabilidades Lead a team of professional engineers and set objectives Prioritize inputs from diverse internal and external sources to solve platform challenges Act as technical liaison across Cloud, Cybersecurity, Governance,



and adjacent teams Define team responsibilities, engineering standards, and platform governance practices Ensure quality, accuracy, and timeliness of the team's outputs Influence enterprise-standard alignment and best practices across related teams Requisitos principales 8 or more years in software or platform engineering > =2 years in production LLM operations (LLMOps) Hands-on with LLM/API gateway tech (Lite LLM or comparable) Experience with multi-provider cloud AI platforms (Azure Open AI, Azure AI Foundry, AWS Bedrock) Cloud-native experience on AWS/Azure (containers, secrets, databases, networking, load balancing) Production-grade Python backend development; Rust a plus Infrastructure-as-code and CI/CD tooling (Docker, Azure Dev Ops, Terraform/Cloud Formation) leadership cross-functional collaboration problem solving LLMOps LLM/API gateway technologies Azure Open AI

📌 Senior Ai-Ml Platform Engineer (Gallecs)
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📍 Gallecs