AI ML Engineer - European Agency

Altia; Murcia; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

High-impact project

Collaborative work environment

Career Plan

Training Plan

Flexible Remuneration

Job summary

Altia in Murcia, Spain seeks 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 across model development, data engineering, and platform integration to deliver scalable AI services.

The role covers Generative & Agentic AI, cloud platforms, MLOps, and REST service integration, with a focus on responsible AI governance and data protection compliance.

Qualifications

• Proven experience building NLP/LLM-based solutions.
• Strong programming skills in Python and data science libraries.
• Experience with MLOps, deployment, and monitoring frameworks.
• Familiarity with data governance, privacy, and AI ethics.

Responsibilities

• Design, develop, and maintain ML/AI solutions with NLP/LLMs and RAG.
• Develop AI services and LLM-based applications using agentic AI frameworks.
• Support data ingestion, quality and governance across data environments.
• Implement AI/ML solutions on cloud platforms and managed services.
• Apply MLOps practices including experiment tracking, deployment, observability, and bias mitigation.
• Develop REST services and integrate AI capabilities into existing apps.

Skills

NLP/ML design

Data modeling

Cloud computing

MLOps

Tools

Python

R

Pandas

TensorFlow

PyTorch

SpaCy

NLTK

LangChain

LlamaIndex

Semantic Kernel

Job description

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

• 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).