Python Job: Natural Language Processing Team Intern - Hybrid

Job added on

Company

General Motors

Location

Dublin - Ireland

Job type

Full-Time

Python Job Details

Job Description
  • DevOps Activities
    • Development of Application Deployment Capabilities
    • Schedule and Manage Deployments (Kubernetes and/or Public Cloud based on business need)
    • Quality Gate Implementation
    • Security Gate Implementation
  • Software Development Activities
    • React Application Code Development
    • Python Application Code Development
    • Java Application Code Development
  • Machine Learning
    • Data labelling
    • HITL (Human in the loop) Verification
    • Training / Testing / Cross Validation of Models
  • Artificial Intelligence
    • Deep Learning Experimentation
    • Deep Learning Model Testing
    • Dataset storage & coordination
    • Model Training & Testing (offline)
    • Quality Inspection Work

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteeropportunities.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.