Intern – LLM/RAG, Machine Learning Engineer

Posted 22 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement AI systems that include LLMs, RAG, databases, parsers, digital avatars, and tailored Python functions.

• Conduct thorough analyses of retrieval quality and usability, optimizing them independently.

• Leverage generative AI for vibe coding to swiftly develop high-quality software.

• Create pipelines and models in Python while ensuring quality through a meticulous testing strategy.

• Assist in enhancing the architecture of pipelines.

• Engage in brief team meetings and collaborate closely with various departments.

• Innovate AI-driven solutions for operational staff, training, instruction, and sustainable skills development.


⛳️ Requirements

• Currently pursuing a degree in Computer Science, Data Science, Geoinformatics, or a related discipline.

• Proficient in Python, Cursor or VS Code, and Git.

• Demonstrated interest in LLMs, RAG, and digital avatars.

• A structured, independent, and solutions-focused work approach.

• Preferably, initial GitHub projects, contributions, or personal repositories.

• Willingness to assume responsibility and experiment with new technologies.

• Excellent proficiency in both German and English.


🏝️ Benefits

• Engage in a genuine project of the future with a significant emphasis on sustainability and social impact.

• Build valuable portfolio projects that enhance your future career prospects.

• Learn through practical experience, with opportunities to explore and develop your skills independently.

• Space for experimentation: contribute your ideas, test models, and pursue innovative methodologies.

• A vibrant, open work environment with flat hierarchies.

• Join a young, dedicated, and supportive technology team.

• Flexible working hours designed to help you balance your studies, work commitments, and personal life.

• 100% remote work option available.

• Comprehensive hands-on experience.

• Opportunity for independent work.

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