Senior MLOps Engineer
We are seeking a highly experienced MLOps professional to evolve our machine learning lifecycle and empower data scientists to iterate and deploy models faster.
* You will take ownership of designing, building, and managing robust CI/CD pipelines specifically for ML models.
The ideal candidate will have deep experience in a dedicated MLOps or DevOps role with a strong focus on machine learning systems. A proven track record of operationalising LLM-based systems is a plus.
* Key Requirements:
* 7+ years of experience in MLOps or DevOps with a focus on machine learning systems.
* Expert-level knowledge of GCP cloud stack, particularly Vertex AI (Pipelines, Endpoints, Training), BigQuery, Pub/Sub, and GKE.
* Demonstrable expertise in building and managing complex CI/CD pipelines.
Additional Qualifications:
* Practical experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible).
* Proficiency in Python and experience with scripting for automation, infrastructure management, and building tooling for ML teams.