Description

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

Responsibilities

• Build and maintain data pipelines and feature stores.
• Develop infrastructure specifically designed for machine learning workloads.
• Handle configuration and pipelining tasks to support ML models.
• Implement data engineering patterns to support downstream AI/ML requirements.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python for engineering tasks.
• Strong experience with PySpark.
• Advanced SQL skills.
• Experience with BigQuery.
• Background in Machine Learning and Data Science principles.
• Ability to work on the engineering side of ML rather than pure model research.
• Graduate degree in any field.

Preferred Skills

• Hands-on experience with Google Cloud Platform (GCP).

Key Skills

Education

Any Gradute