Senior MLOps Engineer: Build Scalable ML Pipelines

JetBrains; Madrid; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

JetBrains is seeking an ML Workflows Engineer to help build and optimize machine learning tooling and pipelines. You will design end-to-end ML systems, harness Kubernetes-based infrastructure, and collaborate with product teams to deliver scalable, reproducible ML workflows.

Ideal candidates have hands-on MLOps experience, proficiency with Python, and familiarity with CI/CD tools such as GitHub Actions or JetBrains TeamCity.

Formación

• Hands-on experience with modern MLOps tooling and pipelines.
• Proficiency with Kubernetes, cloud providers (GCP, AWS), and ML orchestration frameworks.
• Python experience for backend ML services and tooling.
• Experience with CI/CD systems (GitHub Actions, JetBrains TeamCity).
• Familiarity with ML lifecycle from data to deployment.

Responsabilidades

• Build tools, automation, and workflows to simplify ML infrastructure.
• Develop monitoring, logging, and tracing for ML workflows in production.
• Design and maintain end-to-end ML pipelines for training and deployment.
• Work with large-scale distributed systems including GPU clusters.
• Collaborate with product teams to translate goals into scalable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency.

Descripción del empleo

JetBrains is seeking an ML Workflows Engineer to help build and optimize machine learning tooling and pipelines. You will design end-to-end ML systems, harness Kubernetes-based infrastructure, and collaborate with product teams to deliver scalable, reproducible ML workflows.

Ideal candidates have hands-on MLOps experience, proficiency with Python, and familiarity with CI/CD tools such as GitHub Actions or JetBrains TeamCity.