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CENSUS

AI/ML Data Science Internship

CENSUS

. Build and improve LLM-based features and evaluations .

Posted 11/9/2026internshipRemote • GreeceEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI and Machine Learning, with strong Python skills and a solid understanding of LLMs. Capable of building datasets, fine-tuning models, and contributing to production AI systems, while maintaining high standards of code quality.

Highest-signal resume keywords
Python ProgrammingMachine Learning FundamentalsLLM Fine-TuningDataset BuildingAI Project Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonMachine LearningLLM UnderstandingDataset BuildingFine-TuningSQLDockerGPU ExperienceLoRASFT
Soft Skills
Problem-Solving MindsetCuriosityGood Written English
Industry Keywords
AIMachine LearningData ScienceSecurityCryptographyRAGAgent Systems

Tech Stack

Tools & technologies
DockerPythonSQL

About the role

Key responsibilities & impact
  • Build and improve LLM-based features and evaluations
  • Tackle early-stage research projects in AI and machine learning
  • Build datasets and fine-tune open models on security data
  • Contribute to production AI systems and products
  • Work on LLM features, evaluations, datasets, and fine-tuning
  • Start on a rolling basis when hired and ready
  • Internship runs for up to 6 months

Requirements

What you’ll need
  • Open to Master’s and PhD students in AI, Machine Learning, Data Science or related fields
  • Exceptional final-year Bachelor’s students may apply if they can show their work
  • Strong Python skills
  • Solid grasp of machine learning fundamentals
  • Understanding of how LLMs are used in practice
  • Evidence of real work, such as AI projects built
  • Good written English
  • Curious, problem-solving mindset
  • Readable and reviewable code
  • Europe-based candidates are prioritised
  • Bonus: published papers or ongoing research
  • Bonus: experience with RAG or agent systems
  • Bonus: fine-tuning LLMs using LoRA, SFT, or DPO, or building evaluation sets
  • Bonus: SQL, Docker, or GPU experience
  • Bonus: interest in security or cryptography

Benefits

Comp & perks
  • Paid internship
  • Mentorship from AI-team professionals
  • Code review on every pull request
  • Fully remote work in Europe
  • Potential junior/full-time job offer for strong performers
  • Elite training from AI and cybersecurity experts
  • Hands-on experience with production AI systems and products