Description

You will maintain ML Ops code bases with a focus on backend stability and development-heavy frontend tasks.

Responsibilities

• Maintain and support existing code bases to ensure smooth integration and operation.
• Build and manage CI/CD pipelines for deployment following industry best practices.
• Migrate models from legacy systems to Snowflake using Python-based software best practices.
• Containerize and orchestrate applications using Docker and Kubernetes.
• Execute unit, integration, and regression testing to ensure code quality.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python and Machine Learning.
• Hands-on experience with AWS and SageMaker.
• Strong SQL skills and experience with Snowflake data consumption.
• Experience building and maintaining CI/CD pipelines.
• Practical knowledge of Docker and Kubernetes.
• Understanding of Test-Driven Development (TDD) and System Design.
• Ability to perform comprehensive testing including unit, integration, and regression tests.

Preferred Skills

• Experience with RESTful services and API testing.
• Analytical background specifically using SageMaker.

Key Skills

Education

Any Graduate