Join to apply for the ML Ops Engineer ID38029 – $3,000 Sign-On Bonus role at AgileEngine 4 weeks ago Be among the first 25 applicants Join to apply for the ML Ops Engineer ID38029 – $3,000 Sign-On Bonus role at AgileEngine Get AI-powered advice on this job and more exclusive features. 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 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;- Upper-Intermediate English level.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.Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Industries IT Services and IT Consulting Referrals increase your chances of interviewing at AgileEngine by 2x Get notified about new Operations Engineer jobs in Guadalajara, Jalisco, Mexico . Principal Software Engineer, Quote Engine 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