Description
The Data & ML Infrastructure Engineer will own and evolve a cloud-agnostic data and machine learning platform supporting data ingestion, storage, processing, training, and model deployment across multiple products. The role focuses on platform reliability, scalability, cost efficiency, MLOps automation, observability, security, governance, and collaboration with data science and IT teams. It requires an MSc or equivalent and at least five years of industry experience, along with expertise in cloud infrastructure, distributed systems, Infrastructure-as-Code, ML platforms, databases, streaming systems, containerization, CI/CD, Python, and monitoring tools.
