Senior ML Ops

Job summary

Responsibilities

We are looking for a Senior MLOps Engineer to join the ML Platform (TIGER) team in Artificial Intelligence & Machine Learning.

• Partner with data scientists, ML & AI engineers to take models from experimentation to reliable, scalable production deployment.
• Operate and evolve the orchestration layer for training, serving and evaluation workloads, built on GCP and AWS using Kubernetes (GKE) and Ray-based platforms (Anyscale) —…
• Build the tools, templates and best practices (Terraform modules, Kubernetes CRDs and operators, GitOps workflows, internal libraries) that let any ML team deploy and operate…
• Ensure the availability, reliability and performance of ML systems in production across training, serving and the agents platform; define and track SLOs; take part in on-call and…
• Build and maintain observability for ML systems: infrastructure and model health via Datadog, and evaluation/quality signals via Braintrust, catching regressions before they…

Tech stack

• GCP
• AWS
• Kubernetes
• Terraform
• Python
• Docker
• BigQuery
• Azure