Técnicas Reunidas group (TR) is a leading Oil & Gas International Engineering and Construction Company specialized in the design, construction and management of execution of Industrial plants worldwide. We participate in projects related to hydrogen, biomass, biofuels, decarbonization, artificial intelligence, digitization.
The sustainable growth, decarbonization and energy transition are the concepts that represent our culture.
Our high level of professionalism and commitment drive us to a permanent research to improve efficiency and sustainability and always in compliance with the law and aligned with the highest ethical standards.
At Tecnicas Reunidas, we have a strong commitment to equal opportunities between men and women, as well as diversity. To achieve this, we carry out rigorous selection processes that ensure it.
We are looking for profiles with a practical vocation, an interest in development of Artificial Intelligence and Machine Learning.
Essential Requirements:
Profile sought: Master's or Bachelor's degree in engineering/sciences with up to 5 years of experience, or recent graduates or recent Master's degree in:
- Computer Engineering
- Data Engineering
- Telecommunications Engineering
- Mathematics / Physics / AI
- Data Science
Responsibilities:
- Participate in the development of Artificial Intelligence and Machine Learning solutions.
- Support in the creation of data pipelines, model training, and evaluation.
- Collaborate on projects involving LLMs, RAG, intelligent agents, and automation.
- Develop simple APIs in Python / FastAPI.
- Technical documentation and proof-of-concept.
Requirements:Essential:
- Python (solid academic level)
- Fundamentals of ML / AI
- Git and version control
- Eagerness to learn and grow
Valuable:
- PyTorch / TensorFlow
- LLMs (OpenAI, Ollama, HuggingFace)
- SQL / PostgreSQL
- Basic Docker
We offer:
- Salary depending on experience.
- Versátil timetable and 2-day remote work.
- We offer specific job adaptation for people with a disability certificate of 33% or higher.
- Multicultural, international, and dynamic environment.
- Intensive workday during summer months.
- Place of work: Bilbao.