| ML Ops Engineer- C2C - Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: sudharsan.s, Vysystems [email protected] Reply to: [email protected] Job Description: 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. Requirements: Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred. Solid experience in designing and building automated data and ML pipelines using AWS services and MLOps platforms. Proficiency with cloud services like SageMaker, Data Robot, Vertex AI, Kubeflow, or MLflow. Familiarity with frameworks such as Spark, Ray, and deep-learning frameworks including TensorFlow, PyTorch, Jax. Strong understanding of version control systems, particularly Git. Experience in managing datasets and implementing ML CI/CD workflows. Possession of AWS certification and ML certification is highly desirable. Exposure to building data pipelines for ETL processes using tools like Matillion, Talend, or Snowflake is a plus. Excellent problem-solving and analytical skills. Strong communication and collaboration skills to work effectively in a cross-functional team. Keywords: continuous integration continuous deployment artificial intelligence machine learning |
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| Wed Jul 19 02:32:00 UTC 2023 |