Description

You will direct the strategy and execution of machine learning engineering initiatives.

Responsibilities

• Design and develop machine learning pipelines, ensuring seamless integration and deployment.
• Establish frameworks for monitoring and evaluating the performance of machine learning models.
• Collaborate with cross-functional teams to implement machine learning models into production.
• Guide engineering teams to achieve local business goals and drive technical strategy.
• Identify business impacts, risks, and opportunities related to machine learning initiatives.

Required Skills

• 15+ years of experience in building and deploying machine learning pipelines using Python.
• Hands-on expertise with AWS for building scalable ML solutions.
• Solid understanding of machine learning algorithms, evaluation metrics, and model lifecycle management.
• Experience implementing CI/CD pipelines using Git, TeamCity, or CodeDeploy.
• Ability to design monitoring frameworks to track ML model performance and reliability.
• Strong leadership capability to guide engineering teams and drive technical strategy.
• Experience collaborating with cross-functional teams like data scientists and product teams.
• Strong analytical and problem-solving skills.
• Bachelor's Degree in a STEM discipline (Mathematics, Physics, Engineering, or Computer Science).

Preferred Skills

• Familiarity with Azure cloud environments for machine learning deployment.

Key Skills

Education

Any Graduate