JOB DESCRIPTION
Must-have:Hands-on experience with AWS, Microsoft Azure, and Snowflake in building or supporting production ML/data platforms.
Job Summary
We are seeking an MLOps Engineer to design, deploy, monitor, and maintain machine learning solutions in production across AWS, Microsoft Azure, and Snowflake environments. This role will partner with data scientists and cloud teams to operationalize ML models, automate pipelines, and build reliable, secure, and scalable ML platforms.
The ideal candidate has strong experience in the end-to-end ML lifecycle, cloud-native deployment, CI/CD automation, model monitoring, and production data pipelines, with hands-on expertise in AWS, Azure, and Snowflake.
Key Responsibilities
Design and implement end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, deployment, and monitoring
Deploy and manage ML models in production across AWS, Azure, and Snowflake-based ecosystems ...