MLOps Ingenieur im Bereich der Bildverarbeitung (w/m/d)
Core
Developing, implementing, and maintaining processes and systems that support the entire lifecycle of machine learning models for image analysis to enhance situational awareness and security.
Role type
MLOps Engineer (Computer Vision)
Builds
Automated pipelines for training, validation, and deployment of ML/Deep-Learning models; CI/CD processes for ML models; Deep Learning infrastructure including server and embedded device environments.
Domain
Defense industry, sensor systems, computer vision, data fusion.
Deliverable
production ML models
Required skills
MLOps, DevOps, software engineering, ML workflow automation, containerization (Docker, Kubernetes), cloud technologies, automated data annotation, ML model monitoring and logging, computer vision, Linux, Python, ML libraries (TensorRT, Torch)
Preferred skills
None stated
Technologies
Docker, Kubernetes, TensorRT, Torch, Linux, Python
Responsibilities
Develop and operate automated pipelines for training, validation, and deployment of ML/Deep-Learning models; Implement and optimize CI/CD processes for ML models; Monitor performance and stability of Deep-Learning models in operation and perform model updates/retrainings as needed; Support building, scaling, and maintaining Deep Learning infrastructure; Collaborate with Data Scientists and Software Developers to integrate ML models into existing systems; Ensure compliance with security and compliance requirements in ML operations.
Seniority
Mid-Senior, hands-on IC
