MLOps Engineer (m/f/d)

Founded at Stanford University, Walaris develops autonomous AI-based solutions focused on enhancing situational awareness. Our AirScout software platform uses artificial intelligence, sensor fusion, and edge computing to detect threats in the air, on sea or on the ground. Our cutting-edge technology is utilized by commercial, government, and military users to increase situational awareness in and around sensitive locations.

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

For our office in Zagreb , we are looking for an MLOps Engineer (m/f/d) starting as soon as possible:

Key Responsibilities:

• Building data ingestion and 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.
• Machine learning model optimization: Review, refactor, and optimize machine learning models for improved performance, scalability, and efficiency.
• 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.

Requirements

Required Qualifications:

• 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. A solid understanding of Linux environments
• Knowledge of popular machine learning frameworks such as PyTorch, TensorFlow, Keras, and scikit-learn
• Experience with software development and test automation
• Fluent in English with excellent communication skills
  
  

Desired 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

Benefits

Join our mission and our dynamic team! Help save lives and protect local and national security using bleeding edge technologies. This opportunity provides the chance to pioneer new fields and shoulder significant responsibility developing and deploying industry-defining solutions. At Walaris, you’ll have creative freedom, receive competitive compensation, and work in a fast-paced environment.

If you’re interested in learning more, please submit an application (cover letter, resume, and transcript) via our online application form .