Description

You will lead machine learning initiatives and manage the end-to-end ML lifecycle from conception to production.

This role is on-site.

Responsibilities

• Design and implement machine learning models to solve complex technical problems.
• Own the MLOps pipeline to ensure scalable and reliable model deployment.
• Apply data science methodologies to drive key technical decisions.
• Manage the full lifecycle of ML projects, ensuring timely delivery and quality.

Required Skills

• 10+ years of professional experience in Data Science.
• Extensive expertise in Machine Learning theory and application.
• Strong proficiency in MLOps practices, tools, and workflows.
• Bachelor's degree or equivalent practical experience.

Preferred Skills

• Experience managing end-to-end ML project lifecycles in production environments.

Key Skills

Education

Any Graduate