AI Software Engineer Internhip

AI Software Engineer Intern

Objective: Gain in-depth experience in AI development, focusing on creating and deploying LLM models and AI-based products.

Responsibilities:

• Develop and fine-tune large language models (LLMs) for specific applications.
• Assist in building and deploying AI products, integrating AI models with real-world use cases.
• Perform data preprocessing, augmentation, and analysis to prepare datasets for training LLMs.
• Collaborate on research and development of new AI features and tools.
• Optimize model performance for speed, accuracy, and resource efficiency.
• Document AI development processes, including data pipelines, model configurations, and product workflows.

Tools Provided:

• Frameworks: TensorFlow, PyTorch, Hugging Face, LangChain, or OpenAI APIs.
• Platforms: Cloud environments (AWS, Google Cloud, or Azure) for model training and deployment.
• Data Annotation: Label Studio or other annotation tools for training datasets.

Learning Outcomes:

• Master the development and deployment of LLMs for practical applications.
• Gain experience in the full lifecycle of AI product development.
• Learn advanced techniques for model optimization and scalability.

• Duration: 4 months
• Type: On-premise
• Location: Belgaum, Karnataka
• Benefits: Certificate of Completion, Letter of Recommendation, and hands-on learning experience.