Machine Learning Engineer (LLM Specialist)

T-Systems Iberia; Madrid; Híbrido; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A leading technology solutions provider in Madrid is seeking an experienced professional to design and implement AI systems with a focus on Large Language Models. The ideal candidate will possess strong programming skills, particularly in Python, along with hands-on experience in AI frameworks. This role offers a hybrid work model, flexible hours, and a comprehensive benefits package including health insurance and continuous training opportunities.

Servicios

Hybrid work model

Continuous training

Flexible working hours

Life and accident insurance

26 vacation days per year

Health insurance

Formación

• 8 years overall experience; 3 years relevant experience required.
• Excellent problem-solving skills and attention to detail.
• Ability to integrate new AI systems with APIs and low-latency backends.

Responsabilidades

• Design and implement end-to-end AI systems focusing on LLMs.
• Collaborate with teams to integrate AI solutions into current systems.
• Analyze datasets to identify trends to inform model development.

Conocimientos

Proficiency in Python

Experience with LLMs

Hands-on with AI frameworks

Excellent problem-solving skills

Attention to detail

Educación

Degree in Computer Science or related field

Herramientas

Transformers

PyTorch

TensorFlow

Ray

Docker

Kubernetes

Descripción del empleo

Responsibilities

• 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.

Qualifications: Requirements

• 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 and 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.

Preferred

• Experience working with distributed HPC clusters: Ray, Kubernetes, Docker.
• Experience fine‑tuning LLMs/Embeddings for downstream tasks.
• Experience building and evaluating RAG systems.

Información adicional

What do we offer

• 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

Yes

Employment Type

Full‑time

Key Skills

• Industrial Maintenance
• Machining
• Mechanical Knowledge
• CNC
• Precision Measuring Instruments
• Schematics
• Maintenance
• Hydraulics
• Plastics Injection Molding
• Programmable Logic Controllers
• Manufacturing
• Troubleshooting

Experience

years

Vacancy

1