Description

You will own the end-to-end lifecycle of machine learning solutions, delivering models and components alongside Product and Data Science teams.

This role is on-site.

Responsibilities

• Design, build, and deliver ML models to solve complex business problems.
• Write, test, and validate application code for model implementation.
• Construct optimized data pipelines and leverage cloud architectures for scaled delivery.
• Retrain, maintain, and monitor deployed models in production environments.
• Apply CI/CD practices, test automation, and governance for 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.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• 3+ years tenure in previous ML roles.

Key Skills

Education

Bachelor's degree