Worldline International Hiring! Internship AI Intern in Federal Territory - Ricebowl

Day-to-Day Responsibilities​

• Research and Literature Review:
• Conduct literature reviews on current advancements in large language models and related NLP technologies.
• Evaluate state-of-the-art methods and emerging technologies.
• Data Collection and Preprocessing:
• Assist in gathering, cleaning, and preprocessing datasets for model training and evaluation.
• Work with AI teams to identify relevant data sources and ensure data quality.
• Model Development:
• Assist in designing and executing experiments to evaluate the performance of existing LLMs.
• Assist in feature selection, model training, and hyperparameter tuning.
• Assist in fine tuning of LLM models
• Assit to implement AI APIs and microservices for seamless integration into enterprise applications.
• Ensure AI infrastructure aligns with security, compliance, and regulatory requirements (PCI-DSS, GDPR).
• Documentation and Reporting:
• Document research findings, methodologies, and model development processes.
• Prepare reports and presentations to communicate project status and results to the team.
• Continuous Learning:
• Stay updated on the latest trends and technologies in AI, LLM and machine learning.
• Experiment with low-rank adaptation (LoRA), quantization, and distillation to optimize model efficiency.
• Participate in team meetings, discussions, and brainstorming sessions.