MLOps Engineer

New Balance, a renowned athletic footwear and apparel company established in 1906, is seeking an MLOps Engineer to join their Data Science Center of Excellence. This role represents an exciting opportunity to work at the intersection of machine learning and operations, focusing on building and maintaining robust ML infrastructure.

The position requires a skilled professional with 3+ years of experience in ML Engineering or Software Engineering with ML systems experience. The ideal candidate will be proficient in Python and SQL, with experience in cloud platforms (particularly Azure), Databricks, and Snowflake. Knowledge of MLFlow and MLOps best practices is essential.

As an MLOps Engineer, you'll be responsible for maintaining and enhancing ML pipelines, ensuring efficient model versioning, and implementing robust monitoring systems. You'll work closely with data scientists and engineers to productionize models effectively, making a direct impact on the company's ML infrastructure.

New Balance offers an exceptional benefits package including comprehensive healthcare options, 401K, and unique perks like tuition reimbursement and student loan support. The company embraces a hybrid work model with 3 days in office and 4 weeks of "Work from Anywhere" annually, promoting a healthy work-life balance.

This role is perfect for someone who wants to combine their technical expertise with their interest in sports and innovation, working for a company that has been empowering people through sport and craftsmanship for over a century. You'll be part of a culture that values creativity, innovation, and positive community impact while working on cutting-edge ML technologies.