AI Engineer Intern (VELA)

CATEGORY KRA – KPI
 
Performance  
 
  • Research and develop AI/ML models, particularly in Generative AI.
  • Implement, test, and optimize AI models for real-world applications.
  • Assist in building and maintaining MLOps pipelines to streamline model deployment.
  • Collaborate with cross-functional teams to analyze data and improve model performance.
  • Integrate AI solutions with cloud platforms and containerization tools like Docker, Kubernetes.
  • Debug and troubleshoot AI models, ensuring high accuracy and efficiency.
 
CUSTOMER SATISFACTION 
  • Ensure AI models meet performance expectations and user requirements.
  • Communicate effectively with the development team to resolve issues impacting user experience.

QUALIFICATIONS 
  • Pursuing or recently completed a degree in Computer Science, AI, or related field.
  • Strong knowledge of Machine Learning, Deep Learning, and AI frameworks.
  • Experience with Python and data preprocessing.
  • Familiar with MLOps, cloud platforms, and containerization (Docker, Kubernetes) is a plus.
  • Familiar with data preprocessing, model training, and evaluation.
  • Hands-on experience with AI frameworks.
  • Experience with Git for version control.


Apply now