Artificial Intelligence Research Intern

Key Responsibilities

• Research, design, develop, and implement AI and Deep Learning algorithms.
• Work on NLP systems and models for tasks such as text classification, sentiment analysis, and
  

• Evaluate and optimize machine learning and deep learning models.
• Collect, process, and analyze large-scale datasets.
• Use advanced techniques for text representation and classification.
• Write clean, efficient, and testable code for production-ready applications.
• Perform web scraping and data extraction using Python (requests, BeautifulSoup, Selenium, APIs, etc.).
• Collaborate with cross-functional teams and clearly communicate technical concepts to both technical and non-technical audiences.
  

Required Skills And Experience

• Theoretical and practical knowledge of AI, ML, and DL concepts.
• Good Understanding of Python and libraries such as:TensorFlow, PyTorch, Keras, Scikit-learn, Numpy, Pandas, Scipy, Matplotlib NLP tools like NLTK, spaCy, etc.
• Strong understanding of Neural Network Architectures (CNNs, RNNs, LSTMs).
• Familiarity with data structures, data modeling, and software architecture.
• Understanding of text representation techniques (n-grams, BoW, TF-IDF, etc.).
• Comfortable working in Linux/UNIX environments.
• Basic knowledge of HTML, JavaScript, HTTP, and Networking.
• Strong communication skills and a collaborative mindset.