Public-Sector AI/ML Engineer: NLP, LLMs, RAG

Altia; Barcelona; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Benefits dieser Stelle

High impact project

Collaborative work environment

Career plan

Training plan

Flexible remuneration

Zusammenfassung

Altia in Barcelona is seeking an AI/ML Engineer to design, develop, and maintain AI and ML solutions, focusing on NLP, LLMs, agentic AI, and data-driven applications. This role integrates across data platforms, cloud services, and enterprise-grade systems.

You will implement MLOps, build REST services, and collaborate with cross-functional teams to deliver scalable AI capabilities. A strong background in Python-based architectures and modern frameworks is expected to drive innovation for diverse

Aufgaben

• Design, develop, and maintain Machine Learning solutions using modern frameworks and techniques, including predictive models, recommendation systems, NLP, LLMs, and Retrieval-Augmented Generation (RAG).
• Develop AI services, intelligent agents, and LLM-based applications using modern agentic AI frameworks and Python-based architectures.
• Support data ingestion, preparation, quality, governance, and lifecycle management across SQL, NoSQL, Big Data, and Data Lake environments.
• Implement AI/ML solutions using cloud platforms and managed AI services, integrating models into scalable enterprise environments.
• Apply MLOps practices throughout the model lifecycle, including experiment tracking, deployment, monitoring, observability, bias management, explainability, and compliance with data protection and AI governance requirements.
• Develop REST services and integrate AI capabilities into existing applications and processes, working collaboratively with technical and functional stakeholders.

Jobbeschreibung

Altia in Barcelona is seeking an AI/ML Engineer to design, develop, and maintain AI and ML solutions, focusing on NLP, LLMs, agentic AI, and data-driven applications. This role integrates across data platforms, cloud services, and enterprise-grade systems.

You will implement MLOps, build REST services, and collaborate with cross-functional teams to deliver scalable AI capabilities. A strong background in Python-based architectures and modern frameworks is expected to drive innovation for diverse