Opportunity brief
Sprinto is hiring for the Role of AI Implementation Intern!
Responsibilities of the Intern:
- 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.
- 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