Data Engineer (Detect & Track Distillation)
Paris, Lausanne, ZurichFull-timePosted 2mo ago
About the role
Data Engineer responsible for the data layer powering ML models, transforming raw unstructured data into clean, versioned, training-ready datasets to enable modelers and deep-learning pipelines.
Responsibilities
- Ingestion Pipeline: Ingest, decode, and store raw, unstructured field data (video and other sensor streams) from field logs into efficient, controlled formats.
- Multimodal Alignment: Align multiple data streams temporally and spatially so paired data is usable for training.
- Curation: Transfer both ingested data and public datasets into high-value data, including parsing, filtering, de-duplication and revision.
- Data & Labeling Requirements: Define which data to gather and what and how to label it, and own the dataset-construction workflow and labeling tooling. Coordinate with the teams responsible for data gathering and labeling.
- Dataset Construction: Build task-specific datasets for the team’s training and evaluation needs, in collaboration with acquisition, annotation and product teams.
- Versioning & Lineage: Version datasets and maintain lineage so training runs stay reproducible.
- Storage & Formats: Store data in efficient, training-ready formats (such as columnar or sharded formats) and manage storage tiering to balance cost and latency as datasets grow.
- Efficient Delivery: Deliver clean, documented datasets and the corresponding tools for loading to keep training from being I/O-bound, shaping their structure with the modelers.
Qualifications
- A degree in a STEM field, or equivalent practical experience.
- Experience building and maintaining pipelines for unstructured data at scale (video, images, or sensor data).
- Strong Python skills and data engineering expertise; ability to optimize data loaders for training frameworks (e.g., PyTorch).
Skills
Required:PythonData pipeline design and implementationUnstructured data handling (video, sensor data)Dataset versioning and lineage
Nice to have:Data loading optimization for ML frameworks
Last updated Aug 12, 2026. Interested? Apply on the company site.
About Harmattan AI
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