Junior ML & AI Engineer Intern — Generative AI & NLP

We are seeking a passionate and innovative Machine Learning / AI Engineer Intern to join our AI and Data Engineering team. This internship offers an excellent opportunity to work on real-world Artificial Intelligence and Machine Learning projects involving predictive analytics, Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent automation.

As an AI/ML Engineer, you will collaborate with experienced engineers and data scientists to design, develop, evaluate, and deploy AI-powered solutions that solve business problems and enhance user experiences.

• Develop and implement Machine Learning and Deep Learning models for real-world applications.
• Assist in collecting, cleaning, preprocessing, and analyzing structured and unstructured datasets.
• Build, train, validate, and optimize machine learning models.
• Work on Generative AI applications using Large Language Models (LLMs).
• Develop AI-powered chatbots, intelligent assistants, and recommendation systems.
• Fine-tune foundation models and integrate AI APIs into applications.
• Build data pipelines for model training and inference.
• Evaluate model performance using appropriate metrics and improve accuracy.
• Collaborate with software engineers to deploy ML models into production environments.
• Document experiments, model architectures, and technical findings.
• Stay current with emerging AI technologies, frameworks, and research.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, or a related field.
• Strong understanding of Machine Learning fundamentals.
• Good programming skills in Python.
• Basic knowledge of data structures and algorithms.
• Familiarity with probability, statistics, and linear algebra.
• Understanding of supervised and unsupervised learning techniques.
• Knowledge of data preprocessing and feature engineering.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Passion for AI innovation and continuous learning.

• Programming Languages
  • Python
  • SQL
  • Scikit-learn
  • Tensor Flow
  • Py Torch
  • XGBoost (Preferred)
• Generative AI
  • OpenAI APIs
  • Hugging Face Transformers
  • Lang Chain
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Num Py
  • Data Cleaning

The ideal candidate is curious, analytical, and eager to explore emerging AI technologies. They enjoy solving complex problems, working with data, and building intelligent applications that create real business value.

We are committed to fostering an inclusive and diverse workplace. We welcome applicants from all backgrounds and provide equal employment opportunities regardless of race, color, religion, gender, age, disability, or any other protected characteristic.