ML Data Engineer (m/f/d) – Sensor Data & Pipelines

About This Opportunity

We are representing a confidential robotics organization based in Munich that is building next-generation autonomous perception systems. Our talent team is seeking an experienced ML Data Engineer to own the complete data foundation that powers their object detection and multi-sensor perception capabilities.

This is a senior technical role where you'll architect scalable data pipelines, drive dataset strategy, and establish the quality standards that directly impact model performance in production environments. You'll work cross-functionally with AI engineers, perception teams, and robotics specialists in an international, collaborative setting.

Responsibilities

• Design and own end-to-end ML data pipelines for processing large volumes of time-series camera and multi-sensor data including RGB, IR, thermal, depth, and IMU streams
• Establish and execute the technical strategy for object detection datasets, ensuring statistical representativeness, diversity, and production-grade quality at scale
• Build and operate active learning systems that connect model performance metrics directly to data selection and continuous improvement priorities
• Own labeling workflows comprehensively—from tooling selection and QA methodology to annotation coordination and consistency enforcement
• Partner with AI engineers to diagnose model weaknesses, bias, and drift, translating findings into actionable dataset strategies
• Plan and lead field data collection campaigns to address gaps with high-value real-world sensor data
• Develop internal tools and dashboards providing organizational visibility into dataset quality, distribution, and performance metrics
• Make architectural decisions on data ingestion, storage, versioning, and lifecycle management for computer vision workflows

What We're Looking For

Required qualifications:

• 5+ years of hands-on Python experience with data processing frameworks including Pandas, NumPy, vectorized operations, and multiprocessing
• Proven track record building and owning ETL/ELT pipelines for large-scale video and sensor datasets in production environments
• Deep experience with data orchestration and ML lifecycle management, including dataset versioning and reproducibility practices
• Strong command of object detection frameworks such as Detectron2, MMDetection, COCO format, and bounding-box standards
• Demonstrated experience designing active learning, uncertainty sampling, or semi-supervised dataset workflows
• Deep familiarity with annotation platforms like CVAT or Label Studio, and building automated QA and consistency validation systems
• Strong grasp of evaluation metrics including IoU, mAP, precision-recall curves, and class-wise performance analysis
• Comfortable making decisions around databases (SQL/NoSQL), file systems, and large-scale image, video, and sensor dataset management
• Track record of cross-functional collaboration and influencing technical direction across perception, deployment, and data infrastructure teams
• Fluent English required; German and/or French are advantageous
• NATO-aligned nationality or close ally citizenship is required

Nice to have:

• Experience with cloud storage and MLOps tools such as AWS S3, MinIO, ClearML, MLFlow, or Weights & Biases
• Familiarity with robotics data formats including ROS bag files, TF trees, sensor_msgs, Docker, or embedded ML workflows
• Prior work with multi-sensor perception systems involving IR, LiDAR, radar, or audio datasets
• Outside-the-box creativity combined with systematic design thinking
• Extra-curricular achievements, leadership experience, or unique technical projects

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and align expectations. Once we've confirmed mutual fit, we submit your profile to our client for consideration. Please do not contact the client organization directly—all communication flows through our team to ensure a structured, professional process.

Pay

Compensation details will be discussed during the screening process and are competitive for senior data engineering roles in the Munich market.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure fair, equitable access to opportunities.