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Machine Learning Engineer 

Global Soft Systems, Inc
Plano, TX, United States of America
Part-time

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

1 day ago
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