Description

You will lead the end-to-end lifecycle of machine learning solutions.

Responsibilities

• Design, build, and deliver ML models and components to solve business problems with Product and Data Science teams.
• Solve complex problems by writing, testing application code, and validating ML models.
• Retrain, maintain, and monitor deployed models in production environments.
• Construct optimized data pipelines to feed ML models and leverage cloud-based architectures for scaled delivery.
• Apply CI/CD practices, test automation, and governance to ensure model quality and responsible AI compliance.

Required Skills

• 5+ years of experience in ML engineering or related fields.
• Proficiency in Python, Scala, or Java.
• Experience with Data Engineering principles and practices.
• Ability to inform infrastructure decisions based on ML modeling techniques (e.g., feature selection, bias/variance).
• Experience building and deploying ML models at scale using cloud platforms.
• Familiarity with continuous integration and continuous deployment workflows.
• Understanding of Responsible and Explainable AI best practices.

Key Skills

Education

Bachelor's degree