# ML Data Engineer (m/f/d) - Sensor Data & Pipelines Source: https://realanalystjobs.com/job/ml-data-engineer-m-f-d-sensor-data-and-pipelines-autonomous-teaming-650b5273 ML Data Engineer (m/f/d) - Sensor Data & Pipelines at Autonomous Teaming, an on-site role based in Munich, Germany. Experience level: 5+ Years. Posted on 16 September 2026, read from Autonomous Teaming's own careers page (Personio), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Autonomous Teaming](https://realanalystjobs.com/companies/autonomous-teaming) - Location: Munich, Germany - Work mode: On-site - Posted: Sep 16, 2026 - Employment type: Full time - Experience level: 5+ Years - Source: Autonomous Teaming's careers page (Personio), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), AWS ## About this role • Work in an international, agile team creating the future of autonomous systems • Grow your career in a expanding and ambitious engineering team • Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy • Benefit from a steep learning curve and continuous development • Enjoy team events and a strong, collaborative culture This role owns the data foundation of our perception systems end-to-end - the layer that directly determines model performance in real-world environments. You'll set the technical direction for how we collect, curate, and continuously improve the datasets behind object detection, working as a senior technical partner to ML, perception, and robotics teams - turning raw, messy sensor data into reliable, production-grade systems at scale. You will take full ownership of the ML data lifecycle - from architecture decisions on ingestion and pipelines, through labeling strategy and QA, to driving continuous, metrics-informed dataset improvement - and will be expected to bring judgment and prior experience to how this is done, not just execute a defined process. What you'll do: • Architect and own scalable pipelines for ingesting, organizing, and preprocessing large volumes of time-series camera and multi-sensor data (RGB, IR, thermal, depth, IMU) • Drive the strategy behind our object detection datasets, ensuring quality, diversity, and statistical representativeness at scale • Design and operate active learning loops that connect model performance directly to data selection and improvement priorities • Own labeling workflows end-to-end - tooling decisions, QA methodology, consistency standards, and coordination of annotation efforts • Partner closely with AI Engineers to diagnose model weaknesses, bias, and drift, and translate findings into concrete dataset strategy • Plan and lead data collection campaigns (field recordings, drone/video capture) to close gaps with high-value real-world data • Build internal tools and dashboards that give the org visibility into dataset quality, distribution, and performance gaps • 5+ years of hands-on experience in Python and data processing frameworks (Pandas, NumPy, vectorized operations, multiprocessing) • Proven track record building and owning ETL/ELT pipelines for large-scale video and sensor datasets in production • Deep experience with data orchestration and lifecycle management for ML/computer vision workflows, including dataset versioning and reproducibility • Strong command of object detection pipelines (Detectron2, MMDetection, COCO format, bounding-box standards) • Demonstrated experience designing active learning, uncertainty sampling, or semi-supervised dataset workflows • Deep familiarity with data annotation platforms (CVAT, Label Studio) and building automated QA/consistency checks • Strong grasp of evaluation metrics for object detection (IoU, mAP, precision-recall curves, class-wise metrics) • Comfortable owning decisions around databases (SQL/NoSQL), file systems, and large-scale image, video, and sensor dataset management • Track record of working cross-functionally and influencing perception, deployment, robotics, and data infrastructure teams • Fluent in English; German and/or French are a plus • Experience with cloud storage and MLOps tools (AWS S3, MinIO, ClearML, MLFlow, Weights & Biases). • Familiarity with ROS / robotics data formats (bag files, TF trees, sensor_msgs), Docker, or embedded ML workflows. • Prior work with robotics, drones, or multi-sensor perception systems, including IR, LiDAR, radar, or audio datasets. • Outside-the-box creativity with a blend of conceptual and systematic design thinking. • High intrinsic motivation, attention to detail, and strong problem-solving mindset. • Structured, methodical, and reliable execution, even under uncertainty. • Humble, collaborative, and mission-driven - values collective success over ego. • High ethical standards and disciplined work ethic. • Extra-curricular achievements, leadership, or unique projects are a plus. • NATO-aligned nationality or close ally citizenship is required. Join us to shape the future of AI-driven defense! Description from Autonomous Teaming's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/ml-data-engineer-m-f-d-sensor-data-and-pipelines-autonomous-teaming-650b5273) and use Apply now there to reach the employer's application. The listing is re-checked against Autonomous Teaming's careers page daily and removed when it closes. ## Autonomous Teaming Analyst roles on Real Analyst Jobs. [More roles at Autonomous Teaming](https://realanalystjobs.com/companies/autonomous-teaming) ## More like this - [Data analyst jobs in Germany](https://realanalystjobs.com/jobs/data-analyst-jobs-in-germany) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/ml-data-engineer-m-f-d-sensor-data-and-pipelines-autonomous-teaming-650b5273) - [Autonomous Teaming on Real Analyst Jobs](https://realanalystjobs.com/companies/autonomous-teaming) - [All analyst jobs](https://realanalystjobs.com/jobs)