ML Engineer Intern

About the Role: We're looking for a Machine Learning Engineering Intern passionate about applying cutting-edge ML techniques to solve real-world problems. In this role, you'll focus exclusively on machine learning projects, from data preparation to model deployment.

Responsibilities:

• Develop and implement machine learning algorithms and models
• Prepare and preprocess datasets for training and testing
• Evaluate model performance and optimize algorithms
• Assist in the deployment of ML models to production environments
• Research and implement state-of-the-art ML techniques
• Document findings and contribute to technical knowledge base

Requirements:

• Currently pursuing a degree in Computer Science, Data Science, or related field
• Strong foundation in machine learning concepts
• Experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• Understanding of data structures, algorithms, and mathematics relevant to ML
• Familiarity with data preprocessing techniques
• Previous ML projects or research experience (preferred)

What You'll Learn:

• End-to-end machine learning workflow in a production environment
• Advanced model training and optimization techniques
• ML infrastructure and deployment strategies
• Collaborative research and development methodologies