Description

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

Responsibilities

• Own the full machine learning lifecycle, including ideation, coding, production, and deployment.
• Operationalize complex machine learning models into production environments.
• Collaborate with data science and engineering teams to scale models and 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 multiple times.
• Deep understanding of standard machine learning algorithms, specifically Regression and Classification.
• Experience with Natural Language Processing concepts, including sentiment generation, topic modeling, and TFIDF.
• Hands-on coding experience for model development and deployment.
• Experience working within GCP environments.
• Ability to scale algorithms and models in a production setting.

Education

• Graduate degree in any field.

Key Skills

Education

Any Gradute