Senior MLOps Engineer

About the role

We are building a modern, AI‑ready Data Platform on Google Cloud Platform. As a Senior MLOps / LLMOps Engineer you will turn machine‑learning and AI experiments into reliable, production‑ready solutions, working closely with researchers, data scientists and engineers. You will also help teams adopt AI technologies and best practices across the company.

Key responsibilities

• Build and maintain MLOps / LLMOps infrastructure on GCP, including pipelines, model deployment and monitoring.
• Assist researchers and data scientists in moving models from experimentation to production.
• Design reliable and scalable solutions for traditional ML and GenAI / LLM use cases.
• Ensure experiments are reproducible, observable and maintainable.
• Advise teams on ML/AI architecture, tooling and best practices.
• Collaborate with Data Engineering and DevOps teams on data, infrastructure and CI/CD.
• Contribute to the evolution of the ML/AI platform as the company’s AI needs grow.

Required profile

• 7+ years of experience in ML engineering, MLOps or related fields.
• Strong analytical and communication skills, able to work with both technical and research teams.
• Fluent in English.

Required skills

• Python programming.
• Google Cloud Platform, especially Vertex AI.
• Docker and Kubernetes / GKE.
• Experience with ML frameworks such as PyTorch, TensorFlow or scikit‑learn.
• Familiarity with LLMs and Generative AI.
• Building and operating ML pipelines, model deployment and monitoring.
• CI/CD practices for AI workloads.