MACHINE LEARNING ENGINEER

Responsibilities

• Manage the transition from prototype to production, including setting up model deployment pipelines and monitoring solutions.
• Construct optimized data pipelines to feed ML models; run tests and experiments and document findings.
• Maintain model performance post-deployment including managing model drift, rollback, and failure scenarios.
• Write clean, testable, maintainable code in Python and other languages.

Qualifications

• A minimum of 12 years of work experience, with 1-3 years of experience working with ML frameworks.
• TS/SCI clearance with ability to obtain CI Polygraph after onboarding.
• Master’s degree in a related field with 12 years of experience or a bachelor’s degree in a related field with 17 years of experience.
• Programming proficiency in Python and extensive knowledge of ML frameworks, libraries, data structures, and data modeling.
• Solid understanding of the full ML development lifecycle.
• Experience working with SQL and NoSQL databases.
• Experience with both Linux and Windows operating systems.
• Knowledge of CI/CD and Agile methodologies.
• Solid understanding of software design and system integration.