AI/ML Intern

About the Role
We are looking for highly motivated AI/ML Interns who are passionate about Generative AI, NLP, and Machine Learning. This internship provides hands-on experience in building AI models, working with transformers, training LLMs, and developing applications that leverage state-of-the-art AI frameworks, including Hugging Face for custom model training and fine-tuning. This role is crucial for driving innovation in our AI initiatives and contributing to impactful projects.

Responsibilities
- Collaborate with the AI/ML team to design, develop, and implement machine learning models and algorithms.
- Assist in the training and fine-tuning of large language models (LLMs) and other AI frameworks.
- Conduct experiments and analyze results to improve model performance in various applications, including NLP and computer vision.
- Develop and maintain RESTful APIs for deploying AI models and integrating them into applications.

Required Skills and Technologies
- Proficiency in Python and experience with ML/DL libraries such as PyTorch, Keras, and scikit-learn.
- Familiarity with Hugging Face Hub for model training and deployment.
- Strong understanding of data structures, OOP principles, and SQL for database management.
- Knowledge of NLP, computer vision, GANs, and transformer-based architectures is essential.
- Experience with data manipulation using Pandas and visualization with Matplotlib.
- Excellent communication skills, both verbal and written, are important for collaboration and reporting.

Work Location & Setup
This position is available in both remote and onsite formats, based in Pune, Maharashtra, India. The work environment is collaborative, with opportunities for mentorship and professional growth.

Employment Type & Duration
This is an internship position with a duration from August 18, 2025, to September 30, 2026. We have 3 openings available for this role.

Compensation & Benefits
The salary range for this internship is between 32,000 to 40,000 INR per month. Additional benefits may include flexible working hours and opportunities for skill development.

Additional Information
Candidates should be prepared for an onboarding process that may take 15+ days. This internship is an excellent opportunity for those looking to gain practical experience in AI/ML and contribute to innovative projects in a dynamic environment.