Machine learning engineering is a critical discipline that involves the intersection of software development and data science. In this role, you will be responsible for designing and implementing scalable machine learning infrastructure on Databricks. Your expertise in Python programming language and Databricks platform will enable you to develop efficient solutions for complex machine learning problems. The successful candidate will work closely with data scientists to ship, deploy, and maintain models, ensuring reliable operation in production environments. You will also design and implement tools for model performance monitoring, operational analytics, and drift mitigation. This position requires strong proficiency in Git workflows, CI/CD practices, and tools like GitLab or similar. A strong understanding of reinforcement learning orchestration pipelines and drift detection frameworks is also essential. To excel in this role, you should have 3+ years of experience in MLOps, ML Engineering, Data Engineering, or related roles. A degree in computer science or a related field is preferred.