Machine Learning Intern

About the Role

This is a remote internship role for a Machine Learning Intern. The intern will support the design, development, and evaluation of machine learning and deep learning models for real-world business problems.

Key Responsibilities

• Collect and preprocess data.
• Implement algorithms.
• Run experiments.
• Analyze model performance.
• Document methodologies.
• Prepare technical reports or presentations.
• Collaborate with cross-functional teams to integrate ML components into existing products and solutions.
• Stay current with relevant research, tools, and frameworks to contribute to continuous improvement of Adorebits’ AI and ML offerings.

Requirements & Tech Stack

• Strong foundation in Computer Science and Algorithms.
• Ability to write clean, efficient, and well-documented code.
• Applied knowledge of Machine Learning techniques, including model training, evaluation, and optimization.
• Understanding of Deep Learning concepts.
• Familiarity with common neural network architectures and frameworks.
• Solid grasp of Statistics for data analysis, hypothesis testing, and interpreting model results.
• Experience with Python or similar programming languages.
• Experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with data processing tools (e.g., NumPy, Pandas).
• Familiarity with version control systems such as Git.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Strong analytical thinking.
• Attention to detail.
• Ability to work independently in a remote, collaborative environment.