AI Implementation Intern

What The Role Involves

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 youll have the opportunity to contribute to Sprintos AI infrastructure, assist in optimizing systems, and gain hands-on experience with machine learning and AI technologies. Working alongside experienced engineers, data scientists, and product teams, youll help create efficient data pipelines and developer tools that enable innovative AI-driven solutions.

What Your Impact Will Look Like:

• 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 Bring To The Team:

• 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.

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.