Databricks MLOps Engineer

Xenon7 is seeking a Senior MLOps Engineer with deep expertise in the Databricks ecosystem to join their growing community of tech talent. This role focuses on building and scaling reliable, secure, and automated ML platforms across enterprise environments. The position requires 6+ years of experience in DevOps/MLOps and strong expertise with Databricks, cloud platforms, and modern MLOps practices.

The ideal candidate will work closely with data scientists, ML engineers, and cloud architects to implement and maintain production-grade machine learning infrastructure. This hands-on technical leadership role spans the entire ML lifecycle—from experiment tracking to scalable deployment—while emphasizing automation, governance, and performance optimization.

Xenon7 partners with leading enterprises and innovative startups on cutting-edge projects across various IT domains. The company offers a collaborative environment focused on engineering excellence, continuous learning, and impactful solutions. Team members enjoy flexibility, autonomy, and the opportunity to shape the future of AI through their Innovation Community.

The role offers unique benefits including access to a growing professional network, opportunities for thought leadership and research collaborations, and the chance to mentor others. The company culture emphasizes outcomes over hours, encouraging practitioners to lead new projects and co-develop tools that influence the direction of AI technology.

This position is ideal for experienced MLOps engineers who are passionate about building scalable ML infrastructure and want to work at the intersection of DevOps, data engineering, and machine learning in a collaborative, impact-driven environment.