Intern AI/ML

Job Summary

We are looking for a passionate AI/ML Intern to join our engineering team. The candidate will work on developing and integrating machine learning solutions into scalable software applications while gaining exposure to modern backend development practices and cloud-native technologies.

The ideal candidate should have strong Python programming skills, experience with machine learning workflows, and a good understanding of REST APIs. Knowledge to frontend development frameworks such as React is an added advantage.

Key Responsibilities

• Assist in designing, developing, and deploying AI/ML solutions.
• Build and integrate REST APIs using Fast API.
• Develop modular and maintainable backend services.
• Work with databases using SQLAlchemy ORM.
• Participate in containerization and deployment activities using Docker and Podman.
• Collaborate with frontend developers to integrate backend services with Angular applications.
• Document development activities, technical designs, and implementation details.

Required Skills

• Strong proficiency in Python,C++,C.
• Knowledge of Fast API, Pydantic, REST APIs and client-server architecture. or SQLAlchemy ORM
• Understanding of Machine Learning concepts, data pipelines, and model workflows.
• Familiarity with data processing and transformation techniques.
• Knowledge of ReactJS or other modern frontend frameworks.
• Knowledge with Git workflow
• Basic understanding of Docker and containerized application development.
• Experience working on AI/ML projects or academic research.
• Strong communication and teamwork abilities.
• Strong knowledge about LLM, RAG & exposure in computer vision application.
• Design, develop, and optimize machine learning models for classification, regression, forecasting, recommendation, and anomaly detection applications.
• Implement AI algorithms using Python and popular ML frameworks.
• Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.
• Train, validate, and fine-tune machine learning and deep learning models.
• Develop and maintain AI pipelines for data ingestion, model training, and deployment.
• Hands-on experience with:
• TensorFlow
• PyTorch
• Scikit-learn
• Pandas
• NumPy
• Knowledge of Deep Learning concepts:
• CNN
• RNN/LSTM
• Transformers

Educational Qualification

Completed a bachelor’s or master’s degree in: Computer Science, Artificial Intelligence & Machine Learning Data Science Or a related field with at least 6 months to 1 year

industrial exposure.

What You'll Learn

• End-to-end development and deployment of AI-enabled applications.