Join to apply for the ML Ops Engineer role at AgileEngine 2 days ago Be among the first 25 applicants Join to apply for the ML Ops Engineer role at AgileEngine Join us and receive a $3000 sign-on bonus! AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, 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 to support 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 model 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 execution in low-latency environments; Automated Training Pipelines: Create automated frameworks for training, retraining, and validating ML models, enabling efficient experimentation and deployment; CI/CD for ML: Implement CI/CD best practices to streamline the deployment and monitoring of ML models, integrating with Databricks workflows and Git-based version control systems; Collaboration: Work closely with ML Scientists to ship, deploy, and maintain models; Monitoring & Optimization: Build tools for model performance monitoring, operational analytics, and drift mitigation, ensuring reliable operation in production environments. MUST HAVES 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; THE BENEFITS OF JOINING US - 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. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at AgileEngine by 2x Get notified about new Operations Engineer jobs in Colombia . Associate Manager Operations & Technology Santa Marta, Magdalena, Colombia 2 days ago Medellin, Antioquia, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 6 days ago Bogota, D.C., Capital District, Colombia 8 months ago Project Manager – IoT Electrical Engineer Bogota, D.C., Capital District, Colombia 4 days ago Talent Operations Manager - Remote Work | REF#280946 Bogota, D.C., Capital District, Colombia 5 months ago Site Reliability Engineer, Production Sandbox Reliability team Talent Operations Manager - Remote Work | REF#280947 Medellin, Antioquia, Colombia 5 months ago Bogota, D.C., Capital District, Colombia 2 months ago Bogota, D.C., Capital District, Colombia 1 week ago Talent Operations Manager - Remote Work | REF#280949 Bogota, D.C., Capital District, Colombia 4 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr