AI/Data Resident

Overview

6-month remote AI/Data Resident internship for final-year undergraduate students to gain hands-on machine learning and data engineering experience by building scalable solutions.

What you'll do

• Research, design, implement, optimize, and deploy deep learning models.
• Implement and adapt deep learning models and algorithms to Ema settings.
• Develop enterprise back-end software with API development and language model/NLP integration.
• Train machine learning models and work on perception/control for autonomous driving.
• Analyze data by gathering, transforming, processing, and analyzing datasets.
• Build and iterate analysis pipelines to provide insights at scale.

What you'll need

• Be a final-year undergraduate student in Computer Science (or related) graduating by June next year.
• Have a GPA of 8.0 or above.
• Have strong coding skills and the ability to pick up tasks and run with them.
• Have experience with SQL and programming languages like Python, C++, or R.
• Be familiar with Python and frameworks such as PyTorch, TensorFlow, or Keras.
• Have knowledge of statistical methods such as linear models, multivariate analysis, or sampling methods.

Details

• Internship duration: 6 months (program stints).
• Work mode: remote.
• Work schedule: full time during the summer and 20–30 hours/week on average during the semester.