Description

Manage the end-to-end lifecycle of AI/ML models, from development to production deployment.

Responsibilities

• Deploy and manage AI/ML models throughout their entire lifecycle.
• Troubleshoot and rectify issues within the end-to-end model pipeline.
• Industrialize model pipelines through rigorous testing and validation.
• Build scalable machine learning and data mining algorithms.
• Convert analytical insights into technical system requirements for new enhancements.

Required Skills

• 3+ years of professional experience in data science.
• Proficiency in Python.
• Experience with PySpark.
• Strong SQL skills.
• Experience with NLP.
• Ability to build and scale machine learning algorithms.
• Experience testing and validating model pipelines.

Key Skills

Education

Any Graduate