Machine Learning - Completed Bachelor's or Master's level Internship

View full description

Requirements:

• Currently enrolled in a Master’s program in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of machine learning concepts and algorithms.
• Experience with programming languages such as Python or R.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of data preprocessing and analysis techniques.
• Excellent analytical and problem-solving skills.
• Ability to work both independently and collaboratively within a team.
• Effective communication skills, both written and verbal.

Responsibilities:

• Assist in designing and implementing machine learning algorithms and models.
• Collaborate with data scientists to preprocess and analyze data for model training.
• Evaluate model performance and refine algorithms to improve accuracy and efficiency.
• Participate in the deployment of machine learning solutions into production environments.
• Conduct experiments and document findings to support decision-making processes.
• Stay current with the latest advancements in machine learning and AI technologies.