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.
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Assist the team in developing and implementing AI/ML solutions for real-world business requirements.
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Support data collection, cleaning, preprocessing, and preparation for machine learning models.
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Assist in developing, testing, and evaluating machine learning models under the guidance of senior team members.
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Perform basic data analysis and identify patterns and insights from datasets.
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Write clean, efficient, and maintainable code, primarily using Python.
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Work with databases and write basic SQL queries for data retrieval and analysis.
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Participate in debugging, testing, documentation, and improvement of AI/ML solutions.
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Collaborate with team members and actively participate in technical discussions.
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Stay updated with emerging AI/ML concepts, tools, and technologies.
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B.Tech/B.E. in Artificial Intelligence & Machine Learning, Computer Science, Data Science, or a related discipline.
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Final-year students or recent graduates are encouraged to apply.
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Strong understanding of programming fundamentals.
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Good knowledge of Python.
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Good understanding of Data Structures and Algorithms.
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Knowledge of SQL or any other database query language.
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Knowledge/proficiency in at least one additional programming language, such as:
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TypeScript
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JavaScript
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Core Java
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Basic understanding of Machine Learning concepts.
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Basic knowledge of data preprocessing and model evaluation techniques.
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Strong analytical thinking and problem-solving abilities.
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Good communication and interpersonal skills.
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Strong willingness to learn and work in a collaborative environment.
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Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
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Basic understanding of statistics and data analysis.
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Exposure to AI/ML projects through academic projects, internships, hackathons, or personal projects.
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Familiarity with Git/GitHub is an added advantage.
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Hands-on exposure to real-world AI/ML projects.
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Opportunity to work with experienced technology professionals.
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Learning and development opportunities in AI, Machine Learning, Data Science, and Software Engineering.
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Opportunity to gain practical experience and build a strong foundation for a career in AI/ML.
