Data Operations & ML Prep Lead

Jobtailor; Nice; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

Jobtailor in Nice, France seeks a data engineering oriented professional to handle data collection, organization, and distribution across sites. You will annotate datasets, extract metadata, and prepare data for ML models, working with Python and Docker-based workflows.

Ideal candidates have strong SQL skills, are highly organized, and have experience with ML frameworks such as TensorFlow, Keras, or PyTorch; a science/engineering degree is preferred.

Qualifications

• Strong knowledge of Python, Bash, Docker and Docker-compose.
• Solid SQL knowledge for database creation and data storage.
• Very organized and comfortable handling large data volumes.
• Experience with ML frameworks (TensorFlow, Keras, PyTorch) is a plus.
• Prefer at least a bachelor-level degree in science or engineering; masters/PhD advantageous.

Responsabilités

• Collect and organize data across multiple sites.
• Manage data distribution and annotations for modeling.
• Extract metadata from datasets to support ML workflows.
• Prepare data for advanced ML models and pipelines.

Connaissances

ML frameworks

Organisational skills

Formation

Bachelor's degree in science/engineering

Master's degree in science/engineering

Outils

Python

Bash

Docker

Docker-compose

SQL

Description du poste

Jobtailor in Nice, France seeks a data engineering oriented professional to handle data collection, organization, and distribution across sites. You will annotate datasets, extract metadata, and prepare data for ML models, working with Python and Docker-based workflows.

Ideal candidates have strong SQL skills, are highly organized, and have experience with ML frameworks such as TensorFlow, Keras, or PyTorch; a science/engineering degree is preferred.