MLOps Engineer (H/F)
Core
Building and scaling a robust MLOps platform (AI Factory) to accelerate the development, training, packaging, and production deployment of machine/deep learning models for internal and external clients in defense, aerospace, and industry 4.0.
Role type
Senior MLOps Engineer
Builds
Scalable MLOps platform, data pipelines, and internal tools for model lifecycle management
Domain
Defense, Aerospace, Industry 4.0, Machine Learning Operations
Deliverable
production ML models
Required skills
Python, software development best practices, database management, containerization, production model deployment, monitoring, observability, multi-GPU management, project management
Preferred skills
consulting experience, technical leadership, mentoring
Technologies
Python, cloud environments, on-premise environments, containerization, multi-GPU
Responsibilities
Evolve platform components across cloud and on-premise environments; improve tools for data scientists to accelerate model development and production; enhance model exploitability in production (serving, monitoring, profiling); support client deployments in constrained environments; maintain technology radar and propose stack evolutions; share best practices through mentoring and pair programming
Seniority
Senior, hands-on IC with technical leadership