Artificial Intelligence Research Intern

Artificial Intelligence Research Intern

We are looking for a passionate and skilled Artificial Intelligence Research 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.

Other Details

• Internship Duration: 6 Months (Full-Time)
• Stipend: 5,000/month for students currently pursuing graduation.
• Stipend: 12,300/month (50% contributed by the government and 50% by the company, subject to the applicable NATS rules). For freshers/graduates under the NATS Scheme. Or if college is register under this 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.