Xenon7 is hiring a MLOps Engineer (Databricks, AWS) - REMOTE

About us: At Xenon7, we're not just another tech consultancy - we're the team that tackles the most challenging IT projects across Data, Web, Infrastructure, AI, and beyond. We partner with leading enterprises and game-changing startups to drive innovation that actually moves the needle. Our sweet spot? Delivering advanced solutions that transform how businesses operate in today's complex technological landscape. About the Client: This is your chance to join a Fortune 500 pharmaceutical powerhouse that's pushing technological boundaries. You'll be part of a product team building a game-changing self-service platform that democratizes AI capabilities across the entire organization. Position Summary: As our MLOps Engineer, you'll be the behind-the-scenes maestro of our Databricks ecosystem. Your mission? Administering and supercharging Databricks within AWS environments, constantly expanding its features, evaluating new releases, and providing rock-solid support for business teams. Key Responsibilities: • Databricks Administration: Keep our Databricks environments humming - think high availability, top-tier performance, and ironclad security. • DevOps Engineering: Build and maintain serverless Databricks architectures with seamless CI/CD pipelines and bulletproof AWS service integrations. • MLOps Implementation: Develop best practices for machine learning lifecycle management. Work closely with data scientists and developers to automate and streamline AI model development. • AWS and Azure Integration: Navigate a complex multi-cloud landscape, ensuring cross-platform compatibility and optimal performance. • Namespace Administration in EKS: Manage Kubernetes namespace operations in AWS EKS, handling application deployments and environment configurations with precision. Requirements: • 3+ years in a similar role with proven chops in Databricks, AWS, and ideally some Azure experience • Solid background in MLOps, DevOps, and cloud technologies (bonus points for pharma/healthcare industry experience) • Deep understanding of AWS AI Services