Position Overview
We are seeking a motivated and enthusiastic AI/ML Intern to join our team and contribute to the development of innovative machine learning and artificial intelligence solutions. This internship offers hands-on experience working on real-world AI projects, collaborating with experienced engineers and data scientists, and gaining exposure to the end-to-end machine learning lifecycle.
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing structured and unstructured datasets.
- Support the development, training, and evaluation of machine learning and deep learning models.
- Conduct exploratory data analysis and generate actionable insights.
- Implement and test AI/ML algorithms using Python and relevant frameworks.
- Help build and optimize data pipelines and model deployment workflows.
- Research emerging AI/ML techniques, tools, and best practices.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Document experiments, methodologies, and model performance results.
Required Qualifications
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
- Strong understanding of machine learning fundamentals and data structures.
- Proficiency in Python programming.
- Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Basic knowledge of data analysis tools such as Pandas, NumPy, and Matplotlib.
- Understanding of SQL and database concepts.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
Preferred Qualifications
- Experience with Git and version control systems.
- Personal, academic, or open-source AI/ML projects.
Learning Opportunities
- Work on real-world AI applications and products.
- Gain mentorship from experienced AI/ML professionals.
- Exposure to model development, deployment, and monitoring workflows.
- Opportunity to contribute to impactful projects and build a strong portfolio.
Work Location: In person
Pay: ₹1,000.00 - ₹4,000.00 per month
Work Location: In person
