Software Engineer for MLOps/DataOps - Zagreb

Job summary

We are seeking a talented Software Engineer to join our dynamic team and play a key role in designing and implementing robust MLOps and data engineering pipelines for real-world impact.

Responsibilities

• Set up, extend and maintain data engineering platforms to automate and scale data ingestion, annotation and versioning processes
• Build scalable and robust MLOps pipelines - utilize tools like Kubeflow, MLFlow, DataRobot, Airflow, Docker, and Kubernetes to streamline model development and deployment
• Orchestrate CI/CD pipelines- collaborate with DevOps teams to automate the continuous integration and delivery process using GitLab CI or similar tools
• Containerization and deployment- containerize machine learning models and orchestrate their deployment, versioning, and monitoring
• Model testing and validation- develop and automate tests to ensure the quality and reliability of machine learning models
• Collaboration and documentation- work closely with cross-functional teams, including data scientists, data engineers, and architects. Document processes and best practices

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