| MLOps Engineer - C2C - Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: sudharsan.s, Vysystems [email protected] Reply to: [email protected] JD: We are seeking a highly skilled and motivated Data and ML Pipeline Engineer to join our team. In this role, you will be responsible for designing, building, containerizing, and deploying automated data and ML pipelines using AWS services and MLOps platforms. You will collaborate with cross-functional teams to streamline ML operations and ensure efficient model training, deployment, and monitoring. Responsibilities: Design, build, containerize, and deploy automated data and ML pipelines using AWS services and MLOps platforms. Collaborate with cross-functional teams to streamline ML operations using cloud services such as SageMaker, Data Robot, Vertex AI, Kubeflow, or MLflow. Utilize frameworks like Spark, Ray, TensorFlow, PyTorch, Jax, and other deep-learning frameworks to implement efficient ML pipelines. Manage datasets and implement ML CI/CD workflows to ensure seamless model training, deployment, and monitoring. Ensure version control and utilize Git for tracking and managing the ML codebase. Maintain up-to-date knowledge of industry best practices and demonstrate expertise by possessing AWS certification and ML certification. Build data pipelines for ETL processes to support AWS model deployments using tools like Matillion, Talend, or Snowflake. Keywords: continuous integration continuous deployment artificial intelligence machine learning |
| [email protected] View all |
| Thu Jul 20 21:00:00 UTC 2023 |