Artificial Intelligence Researcher Intern

We are looking for a passionate and skilled AI Intern to join our dynamic team for a 6-month full-time internship. This is an excellent opportunity to work on cutting-edge technologies in Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing (NLP), contributing to real-world projects that create a tangible impact.

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 data extraction.
• 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.

• Internship Duration: 6 Months (Full-Time)
• Stipend: 5,000/month for students currently pursuing graduation.
• Stipend: 9,000/month for freshers/graduates under the NATS Scheme.
• Laptop: Candidates must have their own laptop.
• Location Preference: Mumbai-based candidates preferred.
• Eligibility: Final-year students, recent graduates, and freshers are encouraged to apply.

Required Skills