The Role You’ll Play 

• Develop and deploy production-ready machine learning models across a wide range of applications. 

• Monitor and maintain the performance of models in production environments. 

• Engineer and integrate data from multiple sources to fuel training pipelines, predictions, and business insights. 

• Collaborate with Product Managers to ensure solutions align with customer impact and business goals. 

• Write clean, testable, and scalable code while contributing to shared design documents and engineering discussions. 

• Conduct peer reviews to uphold engineering quality and share knowledge across the team. 

• Stay current with emerging technologies in ML, data engineering, and AI. 

 

Experience You Bring 

• 2+ years of hands-on experience building and deploying machine learning models in production. 

• Proficiency in Python and SQL, with a strong understanding of data manipulation and model pipelines. 

• Excellent communication skills, both written and verbal, with the ability to explain technical work in a clear and thoughtful way. 

• Intellectual curiosity and a bias for action—you’re excited to explore, experiment, and iterate. 

• Strong business intuition and the ability to balance technical rigor with customer outcomes. 

• A results-driven mindset—you care more about solving the problem than using the flashiest method. 

• A proactive approach to identifying and solving complex challenges—both independently and in collaboration.