Artificial Intelligence (AI) Internship

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

1. Build end-to-end AI solutions for critical business problems, including data processing, model training, evaluation, and deployment.
2. Work with structured and unstructured data, applying various data preprocessing and transformation techniques.
3. Implement, fine-tune, and deploy models based on cutting-edge architectures such as Transformers and Generative AI systems.
4. Directly interact with clients to understand requirements and demonstrate AI solutions.
5. Research and prototype advanced AI techniques, including Retrieval-Augmented Generation (RAG), vector databases, and AI agents.
6. Optimize and scale AI models and systems for production environments.
7. Document processes, model development, and deployment strategies for effective knowledge sharing.

Required Skills:

1. Strong proficiency in Python coding and debugging.
2. Basic understanding of Generative AI and related technologies, such as Transformers, Agents, RAG, and vector databases.
3. Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
4. Strong problem-solving skills and a passion for learning and developing new AI technologies.

Good to Have:

1. Experience with backend or frontend development (e.g., Node.js, React, Flask, Django).
2. Knowledge of AWS services like S3, Lambda, SageMaker, or other cloud-based AI/ML platforms.
3. Familiarity with RESTful APIs and microservice architecture.
4. Experience with Docker and containerized deployment environments.
5. Understanding of CI/CD pipelines for automated model deployment.

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