Machine Learning Engineer (W/M)
Core
Design, establish, and maintain robust and scalable ML systems, including training and inference pipelines, for the aviation industry.
Role type
Machine Learning Engineer (MLOps focus)
Builds
Automated machine learning processes, model registries, and production ML systems
Domain
Aviation / Aerospace
Deliverable
production ML models
Required skills
Python, MLOps tooling, CI/CD pipelines, model registries, cloud environments, container technologies, machine learning frameworks
Preferred skills
DevOps practices, automation, big-data tooling
Technologies
Python, MLOps, CI/CD, cloud platforms, containers
Responsibilities
Set up and maintain ML systems including training and inference pipelines; Implement workflow orchestration for automated ML processes; Design and maintain model registry, versioning, and experiment tracking; Implement automated monitoring for data drift, concept drift, model performance, and system health.
Seniority
Mid-level, hands-on IC