Description

You will build and manage the data infrastructure required to support scientific machine learning workflows.

Responsibilities

• Set up and manage large-scale datasets, including DEL data.
• Prepare high-quality training and test datasets for machine learning models.
• Build and maintain MLOps pipelines to automate model workflows.
• Support scientific teams by ensuring data availability and integrity.

Required Skills

• 5+ years of professional experience in data or machine learning engineering.
• Strong proficiency in Python.
• Hands-on experience with DevOps and MLOps practices.
• Experience working with PostgreSQL.
• Ability to handle large-scale scientific datasets.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Background in chemistry or cheminformatics.

Key Skills

Education

Any Gradute