Senior AI Engineer: MLOps & AI Platform Leader

Telekom; La Coruña; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Coursera trainings & language classes

Wellness program

Flexible compensation plan

Descripción de la vacante

T-Systems Iberia is seeking an experienced Senior AI Engineer to design, develop and industrialize AI/ML solutions for production environments. You will define MLOps platforms, automate model lifecycles, and lead collaboration with data science teams to deliver scalable services.

You will mentor engineers, promote best software practices, and implement CI/CD for AI apps across cloud architectures (Azure/AWS/GCP). Hybrid work model with strong security and governance focus.

Formación

• 5+ years designing and industrializing AI/ML solutions in business environments.
• Strong software engineering practices: testing, code review, docs, observability.
• Hands-on with Python and AI/ML ecosystem; experience with PyTorch or TensorFlow.

Responsabilidades

• Design, develop and lead AI/ML solutions for production environments.
• Define and evolve MLOps platforms covering training, validation, deployment and monitoring.
• Collaborate with Data Science teams to industrialize models into high-performance services.
• Develop APIs and microservices to integrate AI into business processes.
• Lead CI/CD for AI applications and ensure governance and security.

Conocimientos

AI/ML engineering

Python

MLOps

Cloud architectures

CI/CD

Docker

Kubernetes

REST APIs

Git

Mentoring

Herramientas

PyTorch

TensorFlow

scikit-learn

Hugging Face Transformers

LangChain / LlamaIndex

Kubeflow

MLFlow

Descripción del empleo

T-Systems Iberia is seeking an experienced Senior AI Engineer to design, develop and industrialize AI/ML solutions for production environments. You will define MLOps platforms, automate model lifecycles, and lead collaboration with data science teams to deliver scalable services.

You will mentor engineers, promote best software practices, and implement CI/CD for AI apps across cloud architectures (Azure/AWS/GCP). Hybrid work model with strong security and governance focus.