Role: Machine Learning Engineer Location: Plano, TX (Local candidates only, required to be on-site once every other week)
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.
Requirement:
- Bachelor's degree in Computer Science or related field or equivalent combination of industry-related professional experience and education