AI ML Engineer - European Agency

Altia; Alicante; Presencial; EUR 55.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

High-impact project

Collaborative work environment

Career Plan

Training Plan

Flexible Remuneration

Descripción de la vacante

Altia in Spain seeks an AI/ML Engineer to design, develop, and maintain AI and ML solutions focusing on NLP, LLMs, agentic AI, and data-driven applications across public-sector use cases.

You will work on AI services, agentic AI frameworks, data ingestion, cloud platforms, and MLOps to ensure scalable, governance-compliant deployments; collaborate with stakeholders and contribute to an international project supporting European institutions.

Formación

• Strong experience designing and deploying NLP/LLM solutions.
• Familiar with Retrieval-Augmented Generation (RAG) architectures.
• Experience with data ingestion, governance, and data lake environments.
• Cloud-based AI platforms and enterprise deployments.
• Ability to collaborate with cross-functional stakeholders across international projects.

Responsabilidades

• Design, develop, and maintain AI/ML solutions for NLP/LLMs and agentic AI.
• Develop AI services and agents using Python-based architectures.
• Integrate models into existing enterprise applications and processes.
• Apply MLOps practices including monitoring, experiment tracking, and deployment.
• Ensure compliance with data protection and AI governance requirements.

Conocimientos

NLP & LLMs

Python

ML & AI

MLOps

RAG

Agentic AI

Data Engineering

Cloud Platforms

REST APIs

Ethics & governance

Herramientas

LangChain

LlamaIndex

Semantic Kernel

AWS Bedrock

SageMaker

Azure ML

PyTorch

TensorFlow

SpaCy

NLTK

Pandas

Descripción del empleo

Role

We are looking for an AI/ML Engineer to design, develop, and maintain Artificial Intelligence and Machine Learning solutions, with a strong focus on NLP, LLMs, agentic AI, and data-driven applications.

Who We Are

Altia is a high-value digital transformation services company that has undertaken, changed, and reformulated international projects for nearly a thousand clients, leaders in their sectors, who have understood that their businesses can be revolutionized through digitalization. Over its 30 years of experience, it has proven to be a robust company with a future, a capacity for innovation, and adaptability.

The project

You will contribute to AI and Machine Learning activities within an international project supporting European institutions and agencies, developing intelligent solutions and data-driven services across a range of public-sector use cases.

AI & Machine Learning: Design, develop, and maintain Machine Learning solutions using modern frameworks and techniques, including predictive models, recommendation systems, NLP, LLMs, and Retrieval-Augmented Generation (RAG).

Generative & Agentic AI: Develop AI services, intelligent agents, and LLM-based applications using modern agentic AI frameworks and Python-based architectures.

Data Engineering: Support data ingestion, preparation, quality, governance, and lifecycle management across SQL, NoSQL, Big Data, and Data Lake environments.

Cloud & AI Platforms: Implement AI/ML solutions using cloud platforms and managed AI services, integrating models into scalable enterprise environments.

MLOps & Responsible AI: 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.

Technical Integration: Develop REST services and integrate AI capabilities into existing applications and processes, working collaboratively with technical and functional stakeholders.

Stack

Programming & Data Science: Python, R, Pandas, Scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK.

AI & NLP: Machine Learning, NLP, recommendation systems, LLMs, RAG, Agentic AI, AI agents.

AI Frameworks: LangChain, LlamaIndex, Semantic Kernel.

Cloud & AI Platforms: AWS Bedrock, SageMaker, Azure AI Studio, Azure ML.

Data & Integration: SQL, NoSQL, Big Data, Data Lakes, web scraping, data ingestion, REST APIs, ETL.

MLOps & Engineering: MLflow, Kubeflow, containers, model lifecycle management, observability and CI/CD practices.

Responsible AI: AIF360, Fairlearn, SHAP, LIME, explainability, bias detection and mitigation, AI governance, data protection and AI Act compliance.

What we offer

• High-impact project
• Collaborative work environment
• Career Plan
• Training Plan
• Flexible Remuneration

The present job offer is drafted taking into account impartiality and non-discrimination on the grounds of gender, race, ideology, or any other reason. Especially, it takes into account the respect for the current regulations regarding gender equality between women and men (Royal Decree-Law 6/2019).