MLOps Engineer

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.You will be responsible for building and maintaining models and data pipelines that power our data science workflows.

You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.Requirements: RequirementsBSc or Master's degree in Computer Science / Math / EngineeringAt least 5 years of commercial experience in PythonAt least 3 years hands-on MLOps commercial experienceExperience working with pipeline orchestrators (e.g., Dagster, Airflow)Experience with distributed computing systemsExperience with Docker and Kubernetes or other scalable containerized solutionsCommercial experience in writing and maintaining scalable ML systemsFluent in English, both written and spokenTeam player, ready to help othersThis position is open to all candidates.