Jobs → Engineering → ML Ops Engineer

About the Role We are looking for an experienced ML Ops Engineer to join our team. This role involves managing and optimizing machine learning operations, data engineering, and DevOps practices. Key Responsibilities • Build and support production data and ML pipelines • Develop CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools • Implement production monitoring, logging, alerting, and troubleshooting • Work in cloud environments such as Azure, AWS, or GCP Requirements • 6+ years of experience in MLOps, ML Engineering, Data Engineering, DevOps, or a related engineering role • Strong Python skills • Strong Databricks and PySpark experience • Strong SQL skills • Experience with Git/GitHub and standard software development practices • Experience with cloud platforms like Azure, AWS, or GCP