Job Description
Work on real-world applied AI tasks, including machine learning, computer vision, NLP, signal processing, or MLOps. Build end-to-end AI project components under mentor guidance.
Requirements
Responsibilities
Develop ML pipelines using Python (scikit-learn / PyTorch / TensorFlow).
Complete weekly tasks in your chosen track (ML, CV, NLP, MLOps, etc.).
Perform data preprocessing, model training, and evaluation.
Use modern AI tools (OpenAI API, Hugging Face, LangChain, MLflow).
Deliver a functional AI project demo at the end of 8 weeks.
Requirements
Background in CS, Data Science, AI/ML, or Engineering.
Strong Python skills and familiarity with ML libraries.
Interest in one or more areas: ML, CV, NLP, MLOps, signal processing, or AI apps.
Ability to learn quickly and follow weekly project milestones.