Internship – Machine Learning Algorithm & Web App Developer

Position Overview:

As a Machine Learning Algorithm & Web App Developer Intern, you will work closely with the data science team to create a sophisticated web-based platform to interact with data and machine learning models in order to simplify complex AI algorithms for end-users. Expect to be involved in implementing a Keras/tensorflow/pytorch backend to support the functionalities, and define an intuitive frontend.

Responsibilities:

Collaborate with senior data science and software engineer to implement an optimal solution in term of backend and UX/UI.

Develop a user-friendly, intuitive web-based app to interface machine learning models.

Integrate machine learning models built on Keras into the platform.

Write clean, well-documented code that adheres to best practices.

Test, debug, and optimize the application for performance.

Participate in weekly update meetings.

Qualifications:

Currently pursuing a degree in Computer Science, Data Science, or a related field.

Strong experience in Python, Keras/tensorflow/pytorch.

Experience with Streamlit is a plus.

Strong problem-solving skills and excellent communication abilities.

Be creative for best UX/UI and intuitive interface development

What You’ll Learn:

Practical applications of machine learning algorithms within an industrial context.

Advanced development of machine learning algorithms in Keras/tensorflow/pytorch.

Advanced web development techniques and software engineering best practices.

How to function effectively in a multidisciplinary, fast-paced team.

Duration:

6 months

How to Apply:

Submit your resume along with a short cover letter explaining your qualification and motivation in the project to [email protected].