Biotecnologia jobs in Spain
Postdoc: Soil Health & Environmental Biotechnology
Universidad de Burgos
Computer System Validation (CSV) Specialist
TRIUM Clinical Consulting NV
Discover more opportunities than anywhere else. Find more jobs nowPostdoctoral Position – Soil Restoration
Universidad de Burgos
Connect with headhunters to apply for similar jobsExperto FullStack o Technical Lead Perfil Experto
Blue Arrow Latam
Quality control supervisor technician (physicochemical laboratory)
3PBIOVIAN
CRA Sponsor Dedicated in Andalusia
Resourcing Life Science
Lead AI Engineer
Job summary
A leading tech company in Cataluña is seeking an experienced AI Systems Developer to design and implement AI systems, focusing on Large Language Models. The ideal candidate will possess extensive experience in AI frameworks, such as PyTorch and TensorFlow, and excel in problem-solving. This position offers a hybrid work model, continuous training, and various benefits, including health insurance and flexible working hours.
Benefits
Qualifications
- 8 years overall experience with 3 years relevant to AI systems.
- Hands-on experience with LLMs and AI frameworks.
- Ability to integrate AI systems with APIs and production deployment.
Responsibilities
- Design and implement end-to-end AI systems focused on LLMs.
- Collaborate to integrate AI solutions into existing systems.
- Monitor and improve model performance.
Skills
Education
Tools
- Design develop and implement end-to-end AI systems with a strong focus on Large Language Models (LLMs).
- Collaborate with cross‑functional teams to integrate AI solutions into existing systems and processes.
- Conduct research to explore new techniques and technologies in AI and machine learning.
- Analyze large datasets to identify trends and insights that inform model development.
- Continuously monitor and improve model performance to ensure accuracy and efficiency.
- Communicate technical concepts effectively to both technical and non‑technical stakeholders.
- Overall experience: 8 years; relevant experience: 3 years.
- Degree in Computer Science, Machine Learning or a related field.
- Excellent problem‑solving skills and attention to detail.
- Proficiency in Python and strong programming skills.
- Hands‑on experience with LLMs and AI frameworks: Transformers, PyTorch, TensorFlow as well as RAG frameworks: LlamaIndex, LangChain.
- Practical experience with agent frameworks such as LangGraph, CrewAI, AutoGen.
- Ability to integrate new functional AI systems with APIs, low‑latency backends and production deployment.
- Ability to quickly understand new AI concepts from papers and blogs, run experiments and propose system improvements.
- Experience working with distributed HPC clusters: Ray, Kubernetes, Docker.
- Experience fine‑tuning LLMs / embeddings for downstream tasks.
- Experience building and evaluating RAG systems.
- International positive dynamic and motivated work environment.
- Hybrid work model (remote / on‑site).
- Flexible working hours.
- Continuous training: certification preparation, access to Coursera, weekly English and German classes.
- Flexible compensation plan: health insurance, meal vouchers, childcare, transportation assistance.
- Life and accident insurance.
- 26 vacation days per year.
- Social fund.
- Free access to specialists (doctors, physiotherapists, nutritionists, psychologists, lawyers).
- 100% salary coverage in case of medical leave.
- And many more benefits of being part of T‑Systems!
If you are looking for a new challenge dont hesitate to send us your CV. Join our team!
T‑Systems Iberia will only process CVs from candidates who meet the specified requirements for each position.
Remote Work : No
Employment Type : Full‑time
Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture
Experience : years
Vacancy : 1
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.