Contractor ML Engineer - Python

Role Overview:
We are seeking a skilled Machine Learning Engineer to join our Machine Learning Ops team.
This role involves supporting and maintaining code bases developed over the past 6-8 months, with a focus on development-heavy frontend tasks and backend maintenance.
The ideal candidate will have a strong background in software engineering, particularly in Python, and experience with AWS, Sagemaker, SQL, and Snowflake.

Key Responsibilities:

• Development and Maintenance: Continue to support and maintain existing code bases, ensuring smooth operation and integration.
• CI/CD Pipeline Creation and Maintenance: Develop and maintain CI/CD pipelines for deployment, ensuring best practices are followed.
• Testing and Evaluation: Perform unit testing, integration testing, and regression testing to ensure code quality and functionality.
• Migration Projects: Assist in moving models from legacy systems to Snowflake, applying software best practices for migrations from Python.
• Collaboration: Work closely with software engineers who have a nuanced understanding of modeling, focusing on development and deployment.
• Docker and Kubernetes: Utilize Docker and Kubernetes for containerization and orchestration of applications.
• Data Consumption: Work with data from Snowflake, leveraging its capabilities for data engineering tasks.

Required Skills:

• Proficiency in Python and experience with AWS (any cloud).
• Experience with Sagemaker and SQL.
• Familiarity with Snowflake and its data consumption capabilities.
• Strong understanding of CI/CD pipelines and best practices for development and deployment.
• Experience with Docker and Kubernetes.
• Knowledge of Test-Driven Development (TDD) and System Design.
• Ability to perform unit testing, integration testing, and regression testing effectively.

Preferred Skills:

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