MLOps Engineer

A company is looking for an MLOps Engineer to design, build, and maintain infrastructure and pipelines for the machine learning lifecycle. Key Responsibilities Automate and optimize ML workflows using CI / CD pipelines and orchestration tools Collaborate with data scientists and product teams to productionalize models and ensure reliable performance Develop and maintain model monitoring, alerting, and logging systems to track performance in production environments Required Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or related field 5+ years of experience in machine learning or data engineering with expertise in MLOps Proven experience deploying machine learning models at scale in production environments Strong coding proficiency in Python and experience with infrastructure tools like Terraform Hands-on experience with ML platforms, CI / CD tools, and containerization technologies