AI Intern

The opportunity

We are looking for AI Interns to research, evaluate and support in the development of cutting-edge AI solutions within the card payment industry. The ideal candidate will have a strong academic knowledge in machine learning, data analysis, and python programming, and will be eager to explore the latest advancements in artificial intelligence. This internship will provide hands-on experience in researching, evaluating, and assisting in the development of innovative AI/LLM models and agent to agent automation.

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.

Who are we looking for

We look for big thinkers. People who can drive positive change, innovate, step up and show what's next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:

• Qualifications & Skills:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering or a related field.
  • Basic knowledge of natural language processing (NLP) concepts and techniques.
  • Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with data manipulation tools (e.g., Pandas, NumPy).
  • Knowledge of statistical analysis and data visualization tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Eagerness to learn and adapt in a fast-paced environment.