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

Bachelor’s degree in computer science, software engineering, or a similar discipline Proficiency with MLOps frameworks such as Kubeflow, MLFlow, DataRobot, and Airflow Familiarity with Docker and Kubernetes, and experience with container orchestration Strong programming skills in Python and Bash and a solid understanding of Linux environments Experience with platform engineering for machine learning applications Experience with software development and test automation Fluent in English with excellent communication skills Preferred Qualifications Master’s degree in in computer science, software engineering, or a similar discipline Experience in computer vision field and large-scale visual data management Experience in using AWS, Microsoft Azure, or Google Cloud Platform services Experience with CI/CD tools such as Jenkins Knowledge of popular machine learning frameworks such as PyTorch, TensorFlow, Keras, and scikit-learn

Join our mission and become part of an innovative, dynamic team! At Walaris, you’ll play a vital role in saving lives and safeguarding local and national security by harnessing the power of cutting-edge technologies. This is your chance to break new ground and take on meaningful responsibility as you help develop and deploy industry-defining solutions. We offer creative freedom, competitive compensation, and a fast-paced, collaborative environment where your ideas and contributions truly matter. If you’re ready to make an impact, we invite you to apply by submitting your cover letter, resume, and transcript through our online application form.