Senior MLOps Engineer – Cloud Data & Machine Learning

Hybrid work model

Description

As a Senior MLOps Engineer, you will optimize ML workflows, support data and engineering teams, and contribute to the development of AI infrastructure.

Responsibilities

• Support ML and data engineers with DevOps, MLOps, and AIOps practices to ensure scalable, reliable AI solutions.
• Assist with framework setup and transformation of Jenkins pipelines to enhance automation.
• Develop proof-of-concept (POC) solutions on Google Cloud Platform (GCP) to validate new approaches.
• Collaborate cross-functionally to streamline CI/CD processes and optimize ML workflows.

Requirements

• Minimum of 5 years of experience in DevOps, MLOps, or AIOps within the data/AI domain.
• Hands-on expertise with cloud frameworks: GCP and/or Azure.
• Proficiency in Python and Bash scripting for automation and deployment.
• Experience working with Jenkins pipelines and CI/CD tooling.
• Communicative level of English.
• Existing legal right to work in the European Union.

Preferred Qualifications

• Knowledge of Spark, SQL, and Hadoop ecosystems.

Application

Apply with a CV, preferably in English, and a statement confirming consent to the processing and storage of personal data.