Software Engineer for MLOps
Walaris designs and develops AI-driven, software-defined, and hardware-enabled autonomous systems for defense and security applications. Our software platform uses artificial intelligence, sensor fusion, and edge computing to provide real-time situational awareness for air, land, and sea domains, enabling rapid decisions at machine speed. Our cutting-edge technology is utilized by customers across the defense, national security, government, marine, and critical infrastructure protection markets worldwide.
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.
At our office in Zagreb, we are seeking a talented Software Engineer for MLOps (m/ž/d) 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
- 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, machine learning engineers, and architects. Document processes and best practices