Remote Data Science Internship: LLM & ML on Real Projects

AI Superior; España; On-site; PHP 1,808,318 - 3,013,864; Full time

Benefits offered by this job

Paid internship

Mentoring by experienced Data Scientists

Exposure to real client projects

Job summary

AI Superior, based in the Philippines, is seeking a motivated Data Science Intern to work on real client projects focused on AI and Machine Learning. This full-time remote position provides an excellent opportunity to gain experience in projects involving Large Language Models while being mentored by industry experts.

Ideal candidates are current students or recent graduates in a relevant quantitative field with solid Python skills and a deep understanding of Machine Learning fundamentals. German language skills are a plus.

Qualifications

• Current student or recent graduate in a Master's or Ph.D. program in a quantitative field.
• Solid Python skills and familiarity with common data science libraries.
• Deep understanding of Machine Learning fundamentals.
• Familiarity with LLMs and transformer-based models.

Responsibilities

• Work on AI-/ML-projects with a focus on LLM-related processes.
• Support the development and testing of machine learning pipelines.
• Contribute to data cleaning, annotation, and preprocessing tasks.
• Assist in building internal tools and reusable components.
• Prepare presentations and analytical materials.
• Stay current with state-of-the-art LLM research.

Skills

Python

Machine Learning fundamentals

Data Science libraries (NumPy, pandas, scikit-learn, matplotlib)

LLMs and transformer-based models

German language (fluent)

Education

Master's or Ph.D. in Computer Science, Mathematics, Statistics, or related field

Tools

Git

AWS

GCP

Azure

Job description

AI Superior, based in the Philippines, is seeking a motivated Data Science Intern to work on real client projects focused on AI and Machine Learning. This full-time remote position provides an excellent opportunity to gain experience in projects involving Large Language Models while being mentored by industry experts.

Ideal candidates are current students or recent graduates in a relevant quantitative field with solid Python skills and a deep understanding of Machine Learning fundamentals. German language skills are a plus.