ML Ops / Data Engineer - Robotics
Potsdam Office, Berlin OfficeFull-timePosted 7mo ago
About the role
Data Engineer to design, build, and maintain Sensmore’s data infrastructure powering embodied AI and VLAMs. Collaborates with Robotics, ML and Software teams to ensure clean, reliable data flows from sensor arrays into training and inference pipelines, blending traditional data engineering with ML Ops practices.
Responsibilities
- Build & operate data pipelines: Ingest, process, and transform multi-sensor telemetry (radar point-clouds, video frames, log streams) into analytics-ready and ML-ready formats.
Qualifications
- 3+ years of hands-on experience building production data pipelines in the cloud (AWS, GCP, or Azure).
- Proficiency in Python, SQL, and at least one big-data framework.
- Familiarity with ML Ops tooling: DVC, MLflow, Kubeflow, or similar.
- Experience designing and operating data warehouses/data lakes (e.g., Redshift, Snowflake, BigQuery, Delta Lake).
- Strong understanding of distributed systems, data serialization (Parquet, Avro), and batch vs. streaming paradigms.
- Excellent problem-solving skills and the ability to work in ambiguous, fast-paced environments.
Skills
Required:PythonSQLBig-data frameworksML Ops toolingData warehouses / lakesDistributed systems
Benefits
- Attractive compensation package and stock options.
- Beverages on-site and regular social events.
- Engage with top-tier researchers, engineers, and thought leaders.
- Influence the future of robotic technologies and tackle significant technological challenges.
- Assistance with relocation to Berlin.
Last updated Jul 23, 2026. Interested? Apply on the company site.
About Sensmore
Heavy machinery. Light years ahead.
Equip your machinery with autonomy built for the harshest conditions. Enhance safety, reduce costs, and increase efficiency with our advanced radar technology.
Heavy machineryAutonomyRadar technology
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