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(Senior) ML Platform Engineer (m/f/d)

Quantum Systems (TBD)·Salary not specified

Primary stack

PythonDockerKubernetes

Nice to have's

Argo WorkflowsKubeflowAirflowMLflowCI/CDCloud MonitoringCloud Logging

Job description

About the Position

Quantum-Systems GmbH is seeking a Senior ML Platform Engineer (m/f/d) to join our team in Gilching, Bayern, Germany. In this role, you will design and build the platform that transforms large-scale UxV and sensor data into validated, reproducible machine learning models. Your work will enable ML engineers to develop autonomy and perception capabilities efficiently, reliably, and at scale.

Responsibilities

  • Design, implement, and operate scalable ML and data pipelines covering ingestion, dataset creation, training, and model validation.
  • Build a reliable ML platform for reproducible experimentation and training across local, on-premises, and cloud GPU infrastructure.
  • Develop efficient systems for large-scale multimodal datasets, including imagery, LiDAR, odometry, ground truth, and simulation data.
  • Establish dataset and model versioning, metadata management, quality checks, and traceability from raw sensor data to validated model artifacts.
  • Build and optimize distributed training workflows, job scheduling, GPU resource allocation, caching, and high-throughput data access.
  • Develop AI-powered tools for internal data engineering, including semantic data search, metadata enrichment, automatic annotation, and quality assessment using foundation or multimodal models.
  • Improve platform reliability, observability, security, cost efficiency, and developer experience.
  • Collaborate with ML, data, and engineering teams to translate their technical needs into scalable platform capabilities.
  • Mentor engineers, contribute to architectural decisions, and establish engineering standards for production-grade ML systems.

Requirements

  • Degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical discipline.
  • Strong software engineering skills in Python and experience building reliable, maintainable software and automated workflows for data-intensive machine learning systems.
  • Several years of hands-on experience building production ML platforms, MLOps systems, or large-scale data and training pipelines.
  • Solid knowledge of machine learning fundamentals and hands-on experience training and evaluating ML models.
  • Deep understanding of the ML lifecycle, including dataset preparation, distributed training, experiment management, model validation, and reproducibility.
  • Experience with cloud platforms and containerized infrastructure using Docker and Kubernetes.
  • Practical experience with large datasets, object and shared storage, data formats, partitioning or sharding strategies, and high-throughput data loading.
  • Familiarity with CI/CD, infrastructure as code, monitoring, logging, access control, and operating reliable production systems.
  • Confident communication skills in English and effective collaboration across research, product, and infrastructure teams.
  • Highly self-motivated and take technical ownership from architecture through operation.

Nice to Have

  • Experience with workflow orchestration, experiment tracking, and model or artifact management technologies such as Argo Workflows, Kubeflow, Metaflow, Airflow, MLflow, or comparable solutions.

We Offer

  • Company pension scheme: Support for your future provisions.
  • Flexible working hours: Trust-based working hours to balance work and life.
  • Mobile Work: Option to work remotely one flexible day per week.
  • Stay active: Access to thousands of fitness and sports facilities with subsidized membership.
  • Bike-Leasing: Support for environmentally mobile and healthy commuting.
  • Corporate Benefits: Attractive offers and discounts from well-known suppliers and brands.
  • Employee events: Opportunities to celebrate successes together.
  • Lunch-Card: Daily lunch budget sponsored.
  • Company Shuttle: Convenient shuttle service from Laim in Munich to our location.

About the Company

Quantum Systems is a leading European deep-tech company for unmanned systems across air, land, and maritime domains. We develop and scale integrated hardware, software, and AI-powered solutions for mission-critical operations. By combining autonomous platforms with intelligent software and AI, Quantum Systems enables customers to operate, understand, and act across domains.

Our Commitment

We are an open-minded company that values and actively promotes diversity. Regardless of gender, age, ethnic origin, religion, sexual orientation, or disability, we believe that the diversity of our employees is essential to our success. At our company, every voice is heard, and every perspective is valued. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential.

© Quantum Systems (TBD). This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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