Overview
Senior MLOps Engineer to join a leading robotics company in the Munich area. You will design, build, and maintain the infrastructure that powers our client\'s Generative AI framework, architect scalable and secure ML environments across development, testing, and production, and automate the entire ML lifecycle from data ingestion and model training to deployment and monitoring.
Responsibilities
* Design, build, and maintain scalable and secure ML infrastructure across development, testing, and production environments.
* Automate and optimize the ML lifecycle.
* Architect and manage the continuous integration and deployment pipelines and release processes using tools such as Kubeflow, MLflow, SageMaker, or custom Kubernetes solutions.
* Implement monitoring systems for data drift, model performance, and infrastructure health.
* Develop tooling: Build and enhance ML engineering tooling for Model Development, Model Workbench, Model Training, Model Monitoring, and Model serving.
* Work closely with data scientists and ML engineers to ensure reproducibility, scalability, and production-readiness of models.
* Design and maintain pipelines for feature extraction, transformation, and storage using tools like Feature Store or custom solutions.
* Ensure data quality, consistency, and lineage throughout the ML pipeline.
* Ensure responsible use of data, model explainability, and auditability in line with organizational and legal standards.
Requirements
* Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
* 5+ years in DevOps/software engineering/infrastructure, with 2–3 years in MLOps or production ML systems.
* Proficiency in Python, Bash or Go is a plus.
* Model versioning, monitoring, and lifecycle management.
* Strong with ML tooling (MLflow, Kubeflow, Airflow, SageMaker, etc.).
* Infrastructure-as-Code (Terraform; Pulumi) and CI/CD pipelines (GitLab CI, Jenkins, ArgoCD).
* Cloud platforms (AWS, GCP, or Azure).
* Proven track record with GPU-accelerated systems at scale.
* Experience with cluster/cloud compute technologies (SLURM, Lustre, k8s).
* Benchmarking expertise (software & hardware).
* Strong problem-solving/debugging with the ability to lead infra initiatives independently.
* Excellent communication and cross-functional collaboration.
Application
If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
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