Turn2Partners
Our client is a fast-moving AI product company, and we have partnered with them on a search for an
MLOps Engineer
to own and scale its internal ML platform. You'll work alongside a small team of data scientists to deploy client-specific models, automate onboarding workflows, and enhance real-time inference pipelines.
What You'll Do
Own and enhance a production ML platform Deploy models into real-time and batch environments Automate onboarding, improve pipelines, and streamline model delivery Lead integration, validation, and monitoring initiatives Support LLM-based agentic workflows and scalable infrastructure What You'll Bring
4+ years in MLOps or ML platform engineering Strong Python and cloud experience (GCP preferred) Hands-on with ML lifecycle tools like Vertex AI or MLFlow Comfortable building CI/CD pipelines and collaborating with data scientists
This is a high-impact, hybrid role with real product influence and strong technical ownership.
MLOps Engineer
to own and scale its internal ML platform. You'll work alongside a small team of data scientists to deploy client-specific models, automate onboarding workflows, and enhance real-time inference pipelines.
What You'll Do
Own and enhance a production ML platform Deploy models into real-time and batch environments Automate onboarding, improve pipelines, and streamline model delivery Lead integration, validation, and monitoring initiatives Support LLM-based agentic workflows and scalable infrastructure What You'll Bring
4+ years in MLOps or ML platform engineering Strong Python and cloud experience (GCP preferred) Hands-on with ML lifecycle tools like Vertex AI or MLFlow Comfortable building CI/CD pipelines and collaborating with data scientists
This is a high-impact, hybrid role with real product influence and strong technical ownership.