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.
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brThe sustainable growth, decarbonization and energy transition are the concepts that represent our culture.
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brOur 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.
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brAt 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.
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brWe are looking for profiles with a practical vocation, an interest in development of Artificial Intelligence and Machine Learning.
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brEssential Requirements:
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brProfile 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:
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brComputer Engineering
brData Engineering
brTelecommunications Engineering
brMathematics / Physics / AI
brData Science
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brResponsibilities:
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brParticipate in the development of Artificial Intelligence and Machine Learning solutions.
brSupport in the creation of data pipelines, model training, and evaluation.
brCollaborate on projects involving LLMs, RAG, intelligent agents, and automation.
brDevelop simple APIs in Python / FastAPI.
brTechnical documentation and proof-of-concept.
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brRequirements:Essential:
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brPython (solid academic level)
brFundamentals of ML / AI
brGit and version control
brEagerness to learn and grow
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brValuable:
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brPyTorch / TensorFlow
brLLMs (OpenAI, Ollama, HuggingFace)
brSQL / PostgreSQL
brBasic Docker
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brWe offer:
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brSalary depending on experience.
brFlexible timetable and 2-day remote work.
brWe offer specific job adaptation for people with a disability certificate of 33% or higher.
brMulticultural, international, and dynamic environment.
brIntensive workday during summer months.
brPlace of work: Bilbao.