AI ML Engineer - European Agency

Altia; Barcelona; Presencial; EUR 60.000 - 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 is seeking an AI/ML Engineer to design, develop, and maintain AI/ML solutions with a strong emphasis on NLP, LLMs, agentic AI, and data-driven applications. You will contribute to an international project supporting European institutions and agencies, building AI services, intelligent agents, and data-driven solutions.

The role involves data ingestion, governance, cloud platforms, MLOps, and integration of AI capabilities into existing systems, using Python-based architectures and modern

Formación

• Experience designing, developing, and maintaining AI/ML solutions.
• Proficiency in NLP, LLMs, and retrieval-augmented generation (RAG).
• Knowledge of data ingestion, preparation, quality, governance, and lifecycle management.

Responsabilidades

• Design, develop, and maintain AI/ML solutions with a focus on NLP, LLMs, and RAG.
• Develop AI services, intelligent agents, and LLM-based applications using agentic AI frameworks.
• Integrate AI capabilities into existing applications via REST services and collaborate with stakeholders.
• Apply MLOps practices across the model lifecycle including monitoring, explainability, and governance.

Conocimientos

NLP

ML

Agentic AI

Model evaluation

Herramientas

Python

R

Pandas

Scikit-learn

TensorFlow

PyTorch

SpaCy

NLTK

LangChain

LlamaIndex

Semantic Kernel

AWS Bedrock

SageMaker

Azure AI Studio

Azure ML

SQL

NoSQL

Big Data

Data Lake

REST APIs

MLflow

Kubeflow

Containers

AI governance

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).