„Thales“ kuria technologijas aviacijos ir kosmoso, gynybos, saugumo bei transporto sritims. Įmonės veikla apima dirbtiniu intelektu grindžiamas sistemas, saugų duomenų perdavimą ir išmaniojo transporto sprendimus, padedančius organizacijoms, kurios pasikliauja patikima skaitmenine ir veiklos infrastruktūra. Kurdama technologijas ir savo darbuotojų bendruomenę, įmonė taip pat pabrėžia tvarumą, skaitmeninę etiką ir įvairovę.
Artificial Intelligence Development Engineer Intern
At Thales, develop Python tools and NLP, LLM, and RAG prototypes to analyze technical text. Help assess the impact of system requirement changes on test specifications and support aircraft system validation.
Aprašymas
- Investigate NLP, LLM, and RAG methods for analyzing technical text.
- Build a prototype to identify test specifications and steps affected by changes to system requirements.
- Create a generative AI module that suggests updates to test specifications.
- Review prototype results with experienced test engineers.
- Collect the test team’s ad hoc needs.
- Develop Python scripts and tools to automate validation, parse complex logs, and simulate interfaces.
- Support and speed up daily System of Systems integration activities.
- Work with a multidisciplinary community and the AI Task Force.
Reikalavimai
- Pursuing a five-year engineering or university degree in computer science, artificial intelligence, data science, or systems engineering.
- Available for a six-month internship.
- Proficient in Python.
- Knowledge of generative AI and natural language processing, especially internal or open-source language models.
- Proficient in prompt engineering.
- Knowledge of Retrieval-Augmented Generation (RAG) architectures.
- Experience with requirements and test management tools such as Jira, DOORS, Polarion, or Xray.
- Able to handle structured data in JSON and XML formats.
- Curious and willing to take initiative.
- Strong analytical and summarization skills.
- Pragmatic, with the ability to turn ideas into working prototypes.
Privalumai
- Access to Thales’s technological expertise.
- Commitment to employee work-life balance.
- Inclusive and supportive workplace.
- Recognized social and environmental commitment.
- Internship agreement.
- Internship allowance based on level of study.
- Worksite accessible by public transportation.