Description

You will build, deploy, and maintain machine learning models and data pipelines within an AWS environment.

Responsibilities

• Maintain existing codebases to ensure operational stability.
• Develop and manage CI/CD pipelines following industry best practices.
• Execute unit, integration, and regression testing to maintain code quality.
• Migrate models from legacy systems to Snowflake.
• Collaborate with software engineers on application development and deployment.
• Use Docker and Kubernetes for containerization and orchestration.

Required Skills

• 5+ years of experience with Python and AWS.
• Hands-on experience with SageMaker and SQL.
• Proficiency with Snowflake for data engineering tasks.
• Strong understanding of CI/CD pipelines.
• Practical experience using Docker and Kubernetes.
• Knowledge of Test-Driven Development (TDD) and System Design.
• Degree in any field (Any Graduate).

Preferred Skills

• Analytical background with SageMaker experience.
• Familiarity with RESTful services and API testing.

Key Skills

Education

Any Graduate