Internship AI- start day is flexible

• Design, develop, and deploy Retrieval-Augmented Generation (RAG) and computer vision systems for real business use case
• Evaluate model output quality and system performance using quantitative metrics and structured experiments; iterate to improve accuracy, latency, and reliabilit
• Validate technical hypotheses through prototyping and document findings
• Collaborate closely with teammates using agile practices (standups, sprint planning, reviews), present demos and results to internal stakeholders

What you bring

• Proficient in Python syntax, collections, pip, and the fundamentals of OO
• Good understanding of basic linear algebra, including vector and matrix operations, derivatives, and function plot
• Knowledge of machine learning fundamentals such as overfitting, gradient descent, classification, regression, metrics, and examples of common ML model
• Familiarity with Pandas for data processing and analysi
• Good grasp of SQL and database schema desig
• Theoretical understanding of NLP fundamentals, transformer models and prompt engineering technique
• Experience training models using PyTorch or other frameworks, understanding of NLP and prompt engineering fundamentals would be a plu
• Experience with web services, Bash, and Linux is desirable
• English proficiency at B2 level or highe
• Capacity to study for 6 hours daily

What you’ll get

• Enjoy personalized learning with intimate group sizes of 3-15 or opt for a one-on-one experienc
• Our dynamic curriculum offers a mix of hands-on practice and essential theory, tailored for groups or adjusted to fit individual needs
• Give yourself at least three months to dive deep into the material in a group, or choose an individual internship length that aligns with international standard
• Discover the industry inside out. This internship provides insights into the IT world, giving you a leg up in your future caree
• Receive guidance and support from an experienced mentor throughout your internship journe
• Beyond learning, there’s a chance for employment. Successful interns might land a full-time job with us after the program
• Dive into real-world projects! Get hands-on experience with genuine IT challenges and see firsthand the solutions in action