AI/ML Intern

About the Role

We are looking for a highly motivated and enthusiastic AI/ML Intern to join our team. This opportunity is ideal for candidates who are currently pursuing their final year or have recently completed a B.Tech/B.E. in Artificial Intelligence & Machine Learning, Computer Science, Data Science, or a related discipline.

The ideal candidate should have a strong foundation in programming, databases, data structures, and machine learning concepts, along with good analytical and problem-solving abilities. The candidate should also be eager to learn, experiment with new technologies, and work on real-world AI/ML projects.

Key Responsibilities

• Assist the team in developing and implementing AI/ML solutions for real-world business requirements.
• Support data collection, cleaning, preprocessing, and preparation for machine learning models.
• Assist in developing, testing, and evaluating machine learning models under the guidance of senior team members.
• Perform basic data analysis and identify patterns and insights from datasets.
• Write clean, efficient, and maintainable code, primarily using Python.
• Work with databases and write basic SQL queries for data retrieval and analysis.
• Participate in debugging, testing, documentation, and improvement of AI/ML solutions.
• Collaborate with team members and actively participate in technical discussions.
• Stay updated with emerging AI/ML concepts, tools, and technologies.

Required Qualifications

• B.Tech/B.E. in Artificial Intelligence & Machine Learning, Computer Science, Data Science, or a related discipline.
• Final-year students or recent graduates are encouraged to apply.
• Strong understanding of programming fundamentals.
• Good knowledge of Python.
• Good understanding of Data Structures and Algorithms.
• Knowledge of SQL or any other database query language.
• Knowledge/proficiency in at least one additional programming language, such as:
  • TypeScript
  • JavaScript
  • Core Java
• Basic understanding of Machine Learning concepts.
• Basic knowledge of data preprocessing and model evaluation techniques.
• Strong analytical thinking and problem-solving abilities.
• Good communication and interpersonal skills.
• Strong willingness to learn and work in a collaborative environment.

Preferred Skills

• Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
• Basic understanding of statistics and data analysis.
• Exposure to AI/ML projects through academic projects, internships, hackathons, or personal projects.
• Familiarity with Git/GitHub is an added advantage.

What We Offer

• Hands-on exposure to real-world AI/ML projects.
• Opportunity to work with experienced technology professionals.
• Learning and development opportunities in AI, Machine Learning, Data Science, and Software Engineering.
• Opportunity to gain practical experience and build a strong foundation for a career in AI/ML.