Description

Design, develop, and deploy large-scale production machine learning systems.

This role is on-site.

Responsibilities

• Build and deploy large-scale ML systems in production environments.
• Implement optimized training processes using efficient data structures and algorithms.
• Apply MLOps practices including design documentation, unit testing, and integration testing.
• Manage source code control and participate in agile workflows using JIRA.

Required Skills

• 5+ years of professional experience building machine learning models.
• Proficiency in Python and PySpark.
• Extensive experience with ML/DL libraries: scikit-learn, lightGBM, TensorFlow, or PyTorch.
• Experience working within cloud environments (Azure or Google Cloud).
• Proficiency with git for source code control.
• Experience using JIRA for agile project planning and tracking.

Preferred Skills

• Master's degree with 3 years of industrial experience, or PhD with 1 year.

Key Skills

Education

Bachelor's degree