Artificial Intelligence (AI) - Internship

Selected intern's day-to-day responsibilities include:

Natural Language Processing (NLP):
- Assist in designing and implementing NLP pipelines for tasks like text
classification, intent recognition,
and summarization.
- Work on prompt engineering and fine-tuning large language models (LLMs)
like GPT-4.
- Extract meaningful insights from unstructured text data and preprocess data
for machine learning
models.
Computer Vision (CV):
- Participate in developing and optimizing image/video-based models for tasks
such as object detection,
classification, and tracking.
- Experiment with pre-trained CV models and fine-tune them for specific use
cases.
Data Collection & Management:
- Collect, preprocess, and clean large datasets for NLP and CV tasks.
- Build and maintain pipelines to ensure the quality and integrity of the
data used for training and
evaluation.
Model Development & Deployment:
- Experiment with state-of-the-art AI models and frameworks to develop
solutions.
- Evaluate model performance, fine-tune hyperparameters, and report results.
Collaboration & Reporting:
- Collaborate with cross-functional teams to understand business requirements
and contribute to AI-driven
solutions.
- Document processes, workflows, and results for knowledge sharing.