As an AI/ML Engineer Intern, you will assist in developing, testing, and deploying machine learning algorithms and models including Generative AI. Your contributions in model training, optimization, and deployment will support projects in various products and services dealing in cross-border payments.
You’ll collaborate closely with product managers, data scientists, and data engineers to integrate models into our systems and gain valuable insights from Thunes’ vast data resources.
Requirements & Skills:
Final year or recent graduate with a background in Computer Science, Software Engineering, Data Science, or a related major
Experience in machine learning frameworks (Scikit-learn, Tensorflow, Pytorch), big data frameworks (Spark/Hadoop/Flink), and experience in resource management and task scheduling
Proficient in Python/SQL. Experience with any Go is highly desirable
Generative AI frameworks and libraries: Hugging Face Transformers, OpenAI, and GPT-based APIs
Experience in ML pipeline, model training orchestration
Good communication and teamwork skills to clearly communicate technical concepts with other teammates
Ability to work independently and complete projects from beginning to end and in a timely manner
Experience with at least one ML project, either academic or personal, showcasing an understanding of the end-to-end ML lifecycle
Experience with Large Language Models (LLMs) and Transformers is a plus (e.g., Hugging Face, AutoTrain, PyTorch, PyG, OpenAI, or other relevant APIs)
Familiarity with cloud platforms (AWS preferred) for deploying ML models is a plus
Prior internship experience in AI/ML or data-related roles is an advantage
