✨ The Role in One Sentence

Sensmore is seeking a Data Engineer to design, build, and maintain data infrastructure for embodied AI and Vision-Language-Action Models.

📋 What You'll Likely Do

• 40%: Build & operate data pipelines to ingest, process, and transform multi-sensor telemetry into analytics-ready and ML-ready formats.

• 30%: Design scalable storage architecting high-throughput, low-latency data lakes and warehouses.

• 30%: Enable ML Ops workflows integrating DVC or MLflow, automating model training/retraining triggers, and tracking data/model lineage.

🧑‍💻 Profiles Doing This Job

• High Priority: 3+ years of experience building production data pipelines in the cloud (AWS, GCP, or Azure).

• High Priority: Proficiency in Python, SQL, and at least one big-data framework.

• High Priority: Familiarity with ML Ops tooling: DVC, MLflow, Kubeflow, or similar.

📈 How This Role Will Look on Your CV

• Designed and implemented scalable data infrastructure for a cutting-edge robotics company.