Internship (Master Thesis) - Data & AI

Internship (Master Thesis) - Data & AI

About

FIRST IN MIND. FIRST IN CHOICE.

Main Responsibilities

• Conduct a comprehensive literature review on multimodal data ingestion and the use of LLMs.
• Design and implement a framework for combining multiple open-source LLMs to handle multimodal data.
• Develop and test algorithms for data preprocessing, model integration, and performance optimization.
• Evaluate the performance of the proposed methods using benchmark datasets.
• Document research findings and contribute to internal publications.
• Present progress and results to the internal AI community team.

Experience Requirements

• Currently enrolled in a master's program in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Background in machine learning, natural language processing, and deep learning.
• Experience with open-source LLMs (e.g., GPT, BERT, LLAMA) and multimodal data processing.
• Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Advanced analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a research environment.
• Experience with Hugging Face models use and contribution is a plus.

Your Benefits

• Motivating environment: in a strong international team that enjoys a lot of freedom
• Focus on your strengths: for example, with coaching and individual training programmes
• Fitness on the job: through our health management with monthly changing campaigns
• Family friendliness: thanks to flexitime and home office option

Skills & Technologies

• Deep Learning
• TensorFlow
• Python
• Innovation
• PyTorch
• Algorithms
• Communication
• Campaign
• Coaching
• Research
• Machine Learning
• Optimization
• Data Science
• Computer Science
• NLP (Natural Language Processing)
• QA (Quality Assurance)

Additional Details

• Location: Bretten, Baden-Württemberg, Germany
• Language Requirement: English
• Remote Model: Hybrid