Join us and receive a $2,500 sign-on bonus! AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries. We are leaders in application development and AI/ML, with a people-first culture recognized by multiple Best Place to Work awards. If you're seeking growth, impact, and a caring team, we'd love to meet you! What You Will Do ML Infrastructure Support and Development: Build and maintain scalable ML infrastructure on Databricks, leveraging Unity Catalog and feature stores for model development and deployment. Drift Detection Frameworks: Design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ML models in production. Model Calibration & Versioning: Develop calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ML lifecycle. Low-Latency Orchestration: Design and optimize reinforcement learning (RL) orchestration pipelines, including Contextual Bandits, for real-time, low-latency environments. Automated Training Pipelines: Create frameworks for training, retraining, and validating ML models to enable efficient experimentation and deployment. CI/CD for ML: Implement best practices for CI/CD to streamline deployment and monitoring of ML models, integrating with Databricks workflows and Git-based systems. Collaboration: Work closely with ML Scientists to ship, deploy, and maintain models. Monitoring & Optimization: Build tools for performance monitoring, analytics, and drift mitigation to ensure reliable operation in production. Must Haves 3+ years in MLOps, ML Engineering, Data Engineering, or related roles managing ML workflows in production. 5+ years of experience using Python. Proficiency with Databricks (2-3 years), Apache Spark, MLflow, Unity Catalog, and feature stores. Familiarity with ML lifecycle tools like MLflow, Kubeflow, and Airflow. Strong knowledge of Git workflows, CI/CD practices, and tools such as GitLab. Understanding of model performance monitoring, drift detection, and retraining workflows. Upper-Intermediate English level. Benefits of Joining Us Professional growth: Mentorship, TechTalks, and personalized development plans. Competitive compensation: USD-based salary, education, fitness, and team activity budgets. Exciting projects: Work on modern solutions with Fortune 500 clients and top brands. Flextime: Flexible schedule with options for remote or in-office work. Your application process continues via email. Please check your email and complete your registration on our Applicant Site. Incomplete registration will result in termination of your application. #J-18808-Ljbffr