At AgileEngine, we are seeking a skilled ML Ops Engineer to join our team. This is an exciting opportunity to work with award-winning software for Fortune 500 brands and trailblazing startups across various industries. Key Responsibilities: - Build and maintain scalable ML infrastructure on Databricks, leveraging Unity Catalog and feature stores to support model development and deployment; - Design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ML models in production; - Develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ML lifecycle; - Design and optimize reinforcement learning (RL) orchestration pipelines, including Contextual Bandits, for real-time execution in low-latency environments; - Create automated frameworks for training, retraining, and validating ML models, enabling efficient experimentation and deployment; - Implement CI/CD best practices to streamline the deployment and monitoring of ML models, integrating with Databricks workflows and Git-based version control systems; - Work closely with ML Scientists to ship, deploy, and maintain models; - Build tools for model performance monitoring, operational analytics, and drift mitigation, ensuring reliable operation in production environments. **Requirements:** - 3+ years in MLOps, ML Engineering, Data Engineering or related roles, focusing on deploying and managing ML workflows in production environments; - 5+ years of experience using Python; - Proficient in using Databricks (2-3 years), Apache Spark, ML Flow, Unity Catalog, and feature stores; - Familiarity with ML lifecycle tools such as MLflow, Kubeflow, and Airflow; - Strong knowledge of Git workflows, CI/CD practices, and tools like GitLab or similar; - Strong understanding of model performance monitoring, drift detection, and retraining workflows; - Upper-Intermediate English level. **Benefits:** - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps; - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities; - A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands; - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.