AWS MLops Engineer

Requirements

• 4+ years of experience in MLOps, DevOps, or related fields.
• Should be able to drive the requirements, follow-up, collaboration with cross teams
• Hands-on experience with AWS services like SageMaker, EC2, Lambda, S3, and RDS.
• Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-Learn.
• Experience with CI / CD tools and best practices
• Familiarity with Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.
• Knowledge of data engineering tools and practices.
• Knowledge of Kubernetes or Docker.
• Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.

Skills Required

Python, Devops, Lambda, MLops