Machine Learning Infrastructure Specialist Are you an experienced professional seeking a challenging role in machine learning infrastructure development? AgileEngine is looking for a skilled Machine Learning Infrastructure Specialist to join our team. In this position, you will be responsible for designing and implementing scalable ML infrastructure on Databricks, leveraging Unity Catalog and feature stores to support model development and deployment. You will also work closely with ML Scientists to ship, deploy, and maintain models. We are looking for someone with 3+ years of experience in MLOps, ML Engineering, Data Engineering or related roles, focusing on deploying and managing ML workflows in production environments. Proficiency in using Databricks (2-3 years), Apache Spark, ML Flow, Unity Catalog, and feature stores is essential. Familiarity with ML lifecycle tools such as MLflow, Kubeflow, and Airflow is also required. Strong knowledge of Git workflows, CI/CD practices, and tools like GitLab or similar is necessary. Additionally, you should have a strong understanding of model performance monitoring, drift detection, and retraining workflows. This role offers the opportunity to accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. We offer competitive compensation and budgets for education, fitness, and team activities. Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime allows you to tailor your schedule for an optimal work-life balance. - Seniority level: Mid-Senior level - Employment type: Full-time - Job function: IT Services and IT Consulting