AI ML Engineer - European Agency

Altia; Vigo; On-site; EUR 70,000 - 120,000; Full time

Benefits offered by this job

High-impact project

Collaborative work environment

Career Plan

Training Plan

Flexible Remuneration

Job summary

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, delivering intelligent services across public-sector use cases.

Work with Python-based architectures, LangChain and other frameworks to implement scalable AI services, data pipelines, and MLOps with bias mitigation and governance considerations.

Qualifications

• Experience designing and delivering NLP/LLM driven AI solutions.
• Strong Python data science stack and model lifecycle knowledge.
• Experience with cloud AI services and MLOps practices.
• Familiarity with responsible AI, bias mitigation and governance.

Responsibilities

• Design, develop, and maintain AI/ML solutions with emphasis on NLP and LLMs.
• Build agentic AI services and applications using modern frameworks.
• Handle data ingestion, quality, governance across data lakes and stores.
• Deploy and monitor models on cloud platforms with CI/CD and observability.
• Integrate AI capabilities into existing applications via REST services.
• Ensure responsible AI, governance, and regulatory compliance.

Skills

Python

NLP

ML

LLMs

R

Pandas

Scikit-learn

TensorFlow

PyTorch

SpaCy

NLTK

Retrieval-Augmented Generation

Tools

LangChain

LlamaIndex

Semantic Kernel

AWS Bedrock

SageMaker

Azure AI Studio

Azure ML

MLflow

Kubeflow

REST APIs

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

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).