Description

You will lead the end-to-end lifecycle of machine learning models from ideation through production deployment.

This role is hybrid.

Responsibilities

• Own the full machine learning lifecycle, including ideation, coding, and deployment.
• Operationalize complex ML models into production environments on GCP.
• Collaborate with data science and engineering teams to scale algorithms.
• Contribute directly to hands-on coding and technical implementation of ML solutions.

Required Skills

• 12+ years of experience building end-to-end machine learning models.
• Proven track record of moving models from ideation to production.
• Deep understanding of standard ML algorithms, specifically Regression and Classification.
• Experience with NLP concepts: sentiment generation, topic modeling, and TFIDF.
• Hands-on coding experience for model development and deployment.
• Experience working within Google Cloud Platform (GCP) environments.
• Ability to scale algorithms and models in production settings.

Preferred Skills

• Graduate degree in any field.

Key Skills

Education

Any Gradute