AI Implementation Intern
Job Description
About the Role
We are seeking a motivated AI Implementation Intern to support the development and enhancement of our AI-powered solutions.
This is a 6 months internship, where you'll have the opportunity to contribute to Sprinto's AI infrastructure, assist in optimizing systems, and gain hands-on experience with machine learning and AI technologies.
Responsibilities
- 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.
What You'll Need
- Currently either in the final semester or completed graduation/post-graduation 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.
- Available for a duration of 6 months for a full-time internship.
- Excellent communication skills and ability to work collaboratively in a team setting.
Resume Tip
Highlight your experience with Python, machine learning concepts, and AI technologies.
Skills Required
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