AI/ML Intern

QUADRANTECH PVT. LTD.; Hyderabad; On-site; INR 201,000 - 268,000; Full time

Benefits offered by this job

Hands-on AI/ML projects

Mentorship by experienced tech pros

Learning & development in AI/ML & Data

Job summary

QUADRANTECH PVT. LTD. is seeking a highly motivated AI/ML Intern. The role targets final-year students or recent graduates with a B.Tech/B.E. in AI/ML, CS, DS, or related disciplines.

You will work on real-world AI/ML projects, gain hands-on experience with data collection, preprocessing and model evaluation, and write Python and SQL code under senior guidance. A strong foundation in programming and problem solving is essential.

Qualifications

• Currently pursuing final year or recent graduate in AI/ML/CS/DS.
• Strong programming fundamentals and knowledge of Python.
• Good grasp of data structures and algorithms.
• Knowledge of SQL or other database query language.
• Proficiency in at least one additional language such as TypeScript, JavaScript or Core Java.
• Basic understanding of ML concepts and data preprocessing.

Responsibilities

• Assist in developing AI/ML solutions for real-world business needs.
• Support data collection, cleaning, and preprocessing for models.
• Develop, test, and evaluate ML models under senior guidance.
• Perform basic data analysis to extract patterns and insights.
• Write clean, efficient Python code and SQL queries.
• Collaborate with team and participate in technical discussions.
• Stay updated with AI/ML concepts, tools, and technologies.
• Contribute to debugging, testing, and documentation.

Skills

Python

Data Structures & Algorithms

SQL

TypeScript

JavaScript

Core Java

Programming fundamentals

Machine Learning concepts

Data preprocessing

Education

B.Tech/B.E. in AI/ML or CS or DS

Tools

Pandas

NumPy

Scikit-learn

Job description

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.