Overview Machine Learning Operations Engineer role at Virtusa. Join to apply for this position. Responsibilities Should have a solid understanding of CI/CD and MLOps best practices. Designing and implementing solutions on the Amazon Web Services (AWS) ecosystem. Strong understanding of AWS and proficiency in Python for scripting and ML model integration. Hands-on experience with Docker, GitHub Actions, and Apache Airflow. Familiarity with AWS CloudFormation, AWS Glue, and AWS Lambda. Experience deploying ML models using Amazon SageMaker. Qualifications Experience with AWS services and Python for ML tasks. Proficiency in Docker, GitHub Actions, and Apache Airflow. Familiarity with AWS CloudFormation, AWS Glue, and AWS Lambda. Experience deploying ML models on SageMaker or similar platforms. Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting Note: This posting has been cleaned to remove unrelated content and present the core responsibilities and requirements for the role. J-18808-Ljbffr
