AI & Data Engineer (Machine Learning) H/F
Core
Design, build, deploy, and operate data and AI applications, specifically managing the full lifecycle of Machine Learning operations (MLOps) to support product teams.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Robust MLOps pipelines for continuous integration, delivery, monitoring, and retraining of ML models
Domain
Industrial technology / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, CI/CD, containerization, infrastructure as code, Git, cloud platforms (AWS, GCP), MLOps tools (MLflow, Airflow, AWS SageMaker, Podman/Docker), model profiling and optimization
Preferred skills
Mentoring junior/intermediate engineers, Agile ceremonies
Technologies
Python, MLflow, Airflow, AWS SageMaker, Podman, Docker, Git, AWS, GCP
Responsibilities
Support Data Science teams by providing complete ML environments and supporting code implementation from data ingestion to model deployment; Collaborate with data engineers, software developers, and product owners to integrate ML solutions into products; Deploy and manage robust MLOps pipelines for continuous integration, delivery, monitoring, and retraining; Profile, debug, and optimize performance, latency, and resource consumption of models and data pipelines; Collaborate with the ML Ops platform team to translate product needs into feature requests; Form, mentor, and share knowledge with other team engineers
Seniority
Senior, hands-on IC with mentorship responsibilities