ML OPS ENGINEER– $2,500 SIGN-ON BONUS - [RW-16]

Agileengine


Join us and receive a $2,500 sign-on bonus! Agile Engine 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 growth, impact, and a caring team, we'd love to meet you! What You Will Do 1. ML Infrastructure Support and Development: Build and maintain scalable ML infrastructure on Databricks, leveraging Unity Catalog and feature stores to support model development and deployment. 2. Drift Detection Frameworks: Design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ML models in production. 3. Model Calibration & Versioning: Develop model calibration frameworks and establish versioning practices for transparency and reproducibility. 4. Low-Latency Orchestration: Design and optimize reinforcement learning (RL) orchestration pipelines, including Contextual Bandits, for real-time, low-latency environments. 5. Automated Training Pipelines: Create frameworks for training, retraining, and validating ML models for efficient experimentation and deployment. 6. CI/CD for ML: Implement CI/CD best practices to streamline ML deployment and monitoring, integrating with Databricks workflows and Git. 7. Collaboration: Work closely with ML Scientists to ship, deploy, and maintain models. 8. Monitoring & Optimization: Build tools for performance monitoring, operational analytics, and drift mitigation to ensure reliable production operation. Must Haves 1. 3+ years in MLOps, ML Engineering, Data Engineering, or related roles focusing on ML workflows in production. 2. 5+ years of experience with Python. 3. Proficiency with Databricks (2-3 years), Apache Spark, MLflow, Unity Catalog, and feature stores. 4. Familiarity with ML lifecycle tools such as MLflow, Kubeflow, and Airflow. 5. Strong knowledge of Git workflows, CI/CD practices, and tools like Git Lab. 6. Understanding of model performance monitoring, drift detection, and retraining workflows. 7. Upper-Intermediate English level. Benefits of Joining Us - Professional growth: Mentorship, Tech Talks, and personalized development. - Competitive compensation: USD-based salary with budgets for education, fitness, and team activities. - Exciting projects: Work with Fortune 500 clients and top-tier brands on modern solutions. - Flextime: Flexible schedules, remote work options for work-life balance. Your application doesn't end here! Check your email and complete your registration on our Applicant Site. Incomplete registration will terminate your process. #J-18808-Ljbffr

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