Machine Learning Intern

Job Title: Machine Learning Intern

About the Role:

We are looking for an enthusiastic and passionate Machine Learning Intern to join our team. As a Machine Learning Intern, you will work closely with our data science and engineering teams to assist in developing machine learning models and solving data-driven problems. This is a hands-on opportunity to gain practical experience in machine learning techniques, data preprocessing, and model deployment, while contributing to meaningful projects.

Responsibilities:

• Assist in building and optimizing machine learning models and algorithms.
• Perform data cleaning, preprocessing, and exploratory data analysis (EDA) on large datasets.
• Support the team in researching and implementing machine learning frameworks, libraries, and techniques.
• Collaborate with senior team members to design, train, and evaluate machine learning models.
• Experiment with hyperparameter tuning and model optimization techniques.
• Document the progress and results of experiments and share insights with the team.
• Participate in brainstorming sessions to explore innovative approaches to machine learning challenges.
• Stay updated with the latest trends and advancements in the field of machine learning and AI.

Ideal Candidate Should:

• Be pursuing or have recently completed a degree in Computer Science, Data Science, Mathematics, or a related field.
• Have a basic understanding of machine learning concepts and algorithms (e.g., linear regression, decision trees, neural networks).
• Be familiar with programming languages like Python, and machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Have a solid foundation in statistics, data structures, and algorithms.
• Be comfortable with data manipulation tools like pandas and NumPy.
• Have some knowledge of working with large datasets and cloud platforms (AWS, Google Cloud, or Azure) (preferred but not mandatory).
• Be a quick learner with strong problem-solving and analytical skills.
• Be a team player with good communication and collaboration skills.

Perks and Benefits:

• Mentorship from experienced machine learning professionals.
• Hands-on experience working on real-world machine learning projects.
• Opportunity to enhance your skills in data science and machine learning.
• Flexible working hours and a collaborative environment.
• Certificate of completion and the possibility of full-time employment based on performance.