This internship provides an opportunity to explore the core areas of Artificial Intelligence and Machine Learning. Interns will work on preparing datasets, training and fine-tuning machine learning models, and applying deep learning techniques to solve real-world problems. Participants will gain practical exposure to tools and frameworks like Python, TensorFlow, PyTorch, and scikit-learn, along with experience in model evaluation, visualization, and deployment. By the end of the internship, interns will develop strong skills in data handling, model building, and AI solution development, preparing them for industry-ready AIML roles.
Who can apply?
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
Skills you’ll bring
Experience in AI/ML technologies and workflows.
Proficient in RAG workflows and Large Language Model (LLM) knowledge.
Ability to develop and implement machine learning algorithms and models.