Machine Learning Engineer

Global Soft Systems
Plano, TX, US
Full-time

Job Description

Job Description

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
  • 3 hours ago
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