AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflowAIMachine LearningLarge Language ModelsTensorFlowData EngineeringGCPGoogle CloudCommunication
About this role
Role Overview
Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability.
Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation.
Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs).
Help evaluate system performance and participate in proposing solutions for optimization.
Actively participate in team discussions, fostering a collaborative and innovative learning environment.
Requirements
Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related technical field.
Basic understanding of machine learning concepts, data processing, and AI technologies.
Experience with Python and familiarity with frameworks like TensorFlow, PyTorch, or similar.
Strong problem-solving skills and a willingness to learn quickly.
Excellent communication skills and ability to work collaboratively in a team setting.
Preferred:
Experience or coursework in software development and data engineering.
Familiarity with cloud services like AWS, GCP, or Azure.
Interest in developing scalable AI systems and services.