AWS MLops

As an experienced Data Engineer and MLOps engineer, your role involves designing, developing, and implementing robust MLOps pipelines using industry-leading tools such as MLflow and Apache Airflow. Your key responsibilities will include: - Designing and developing MLOps pipelines using AWS and Databricks - Proficiency in Python, Pyspark, SQL, Machine Learning, NLP, Deep Learning, DataBricks, AWS SageMaker, AWS BedRock, AWS EC2, Lambda, S3, and Glue Tables - Experience with configuration management tools like Ansible and Terraform - Building and automating CI/CD pipelines for the machine learning lifecycle - Collaborating closely with Data Scientists to translate their needs into production-ready solutions - Testing, validation, and automation of data science models - Communicating effectively with a team of data scientists, data engineers, and architects - Participating in the development and maintenance of automated ML Ops pipelines - Good to have knowledge of ML techniques and algorithms such as RNN, CNN, GNN, GAN Virtusa values teamwork, quality of life, and professional development. You will be joining a global team of 27,000 professionals who are dedicated to providing exciting projects, opportunities, and working with state-of-the-art technologies. At Virtusa, collaboration and a dynamic team environment are essential for nurturing new ideas and fostering excellence.,