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 that has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with caring people, 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 for transparency and reproducibility in 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 systems. Collaboration: Work closely with ML Scientists to ship, deploy, and maintain models. Monitoring & Optimization: Build tools for model performance monitoring, analytics, and drift mitigation to ensure reliable operation. Must Haves 3+ years in MLOps, ML Engineering, Data Engineering, or related roles focusing on deploying ML workflows in production. 5+ years of experience using Python. Proficiency with 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. Understanding of model performance monitoring, drift detection, and retraining workflows. Upper-Intermediate English level. Benefits of Joining Us Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: USD-based salary and budgets for education, fitness, and team activities. Exciting projects: Work with modern solutions and top-tier clients including Fortune 500 companies. Flextime: Flexible schedules, remote work options, and office presence as preferred. Your application doesn't end here! To proceed, check your email and complete your registration on our Applicant Site. Incomplete registration will terminate your process. #J-18808-Ljbffr