Machine Learning Engineer

About the Role

Key Responsibilities

• Work with large amounts of structured and unstructured data.
• Collaborate with internal stakeholders to explore and understand business data.
• Apply complex analytical techniques to derive actionable insights.
• Design and implement data science applications.
• Design, build, automate, deploy, and maintain machine learning production pipelines.
• Implement machine learning model lifecycle management framework.
• Build model performance tracking tools to monitor month-over-month model performance, identify drivers, and provide recommendations for performance improvement.
• Collaborate with other data science and engineering teams to establish, formulate, and build insight-based feature stores.
• Author technical documentation and reports to communicate process and results.

Requirements

• Bachelor's or Master's degree in Physics, Mathematics, Statistics, Computer Science, or related field with project experience in machine learning and statistical modeling.
• 2-3 years of hands-on experience in building data science applications and machine learning pipelines.
• Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc.
• Working knowledge of one or more scientific programming languages/packages: Python or R.
• Development experience in at least one programming language: Python, Java, C++, etc.
• Knowledge of common machine learning and statistics frameworks and concepts.
• Experience with large data sets, distributed computing, and cloud computing platforms.

Benefits & Perks

• Medical, dental, and vision insurance.
• Life insurance.
• 401(k) retirement plan.
• Free vacation lodging at employee resorts in Daytona Beach, FL, Big Bear Lake, CA, Ocean Isle Beach, NC, and Pigeon Forge, TN.