Artificial Intelligence Intern

Role & responsibilities -

1. *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.
2. *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.

3. *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.
4. *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.
5.*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.

Preferred candidate profile -

• Hands-on experience with APIs like OpenAI, Google Vision, or AWS Rekognition.
• Knowledge of vector databases like Pinecone or Milvus.
• Exposure to MLOps practices and tools like Docker or MLFlow.