Data Engineer: Multimodal ML Datasets & Pipelines

Harmattan AI; Lausanne; Hybrid; CHF 110.000 - 170.000; Vollzeit

Zusammenfassung

Harmattan AI seeks a Data Engineer to own the data layer for ML models, handling raw field logs to curated, versioned datasets. You will enable modelers to focus on model design by delivering clean, documented data.

Ideal candidates have a STEM background, strong Python/data-engineering skills, and experience with unstructured data pipelines at scale. Collaboration across data gathering, labeling, and product teams is essential.

Qualifikationen

• Degree in a STEM field or equivalent practical experience.
• Experience building and maintaining unstructured data pipelines at scale (video/images/sensor data).
• Strong Python and data-engineering skills; optimize data loaders for training frameworks like PyTorch.

Aufgaben

• Ingest, decode, and store raw data from field logs into efficient formats.
• Align multiple data streams temporally and spatially for training.
• Curate data: parse, filter, de-duplicate, and version datasets.

Kenntnisse

Python

Data engineering

PyTorch

SQL

ETL pipelines

Ausbildung

STEM degree

Tools

Cloud platforms

Jobbeschreibung

Harmattan AI seeks a Data Engineer to own the data layer for ML models, handling raw field logs to curated, versioned datasets. You will enable modelers to focus on model design by delivering clean, documented data.

Ideal candidates have a STEM background, strong Python/data-engineering skills, and experience with unstructured data pipelines at scale. Collaboration across data gathering, labeling, and product teams is essential.