Machine Learning Operations Engineer

ZeroFox is revolutionizing cybersecurity through their Digital Risk Protection SaaS platform. As a Machine Learning Operations Engineer, you'll be at the forefront of developing and maintaining scalable ML infrastructure that powers their AI products. The role combines MLOps expertise with cybersecurity innovation, working alongside industry experts in security, machine learning, and cyber threat intelligence.

The position offers a unique opportunity to impact global cybersecurity while working with cutting-edge technologies. You'll be responsible for designing and implementing reliable ML infrastructure, supporting the entire machine learning lifecycle, and ensuring seamless integration of ML models into the ZeroFox platform. The role requires both technical expertise in MLOps and strong collaboration skills.

ZeroFox offers a people-first culture with centers of excellence worldwide and is experiencing significant growth following private equity funding. The company values diversity and maintains an inclusive environment where every opinion matters. They provide competitive benefits, including health insurance, parental leave, and regular team bonding activities.

This hybrid role is based in Santiago, Chile, and requires 3+ years of MLOps experience. The ideal candidate will have strong Python or Go skills, experience with cloud platforms and containerization, and a passion for solving complex technical challenges. If you're excited about combining machine learning operations with cybersecurity and want to contribute to making the internet safer, this role offers an excellent opportunity to grow your career while making a meaningful impact.