Ai Ml Engineer - European Agency
Pubblicato il 01-10-2026 - Altia in Bardi
ph3Role /h3 pWe 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. /p h3Role /h3 pWe 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. /p h3Who We Are /h3 pAltia 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. /p h3The project /h3 pYou 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. /p pAI 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). /p pGenerative Agentic AI: Develop AI services, intelligent agents, and LLM-based applications using modern agentic AI frameworks and Python-based architectures. /p pData Engineering: Support data ingestion, preparation, quality, governance, and lifecycle management across SQL, NoSQL, Big Data, and Data Lake environments. /p pCloud AI Platforms:
Implement AI/ML solutions using cloud platforms and managed AI services, integrating models into scalable enterprise environments. /p pMLOps 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. /p pTechnical Integration: Develop REST services and integrate AI capabilities into existing applications and processes, working collaboratively with technical and functional stakeholders. /p h3Stack /h3 pProgramming Data Science: Python, R, Pandas, Scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK. /p pAI NLP: Machine Learning, NLP, recommendation systems, LLMs, RAG, Agentic AI, AI agents. /p pAI Frameworks: LangChain, LlamaIndex, Semantic Kernel. /p pCloud AI Platforms: AWS Bedrock, SageMaker, Azure AI Studio, Azure ML. /p pData Integration: SQL, NoSQL, Big Data, Data Lakes, web scraping, data ingestion, REST APIs, ETL. /p pMLOps Engineering: MLflow, Kubeflow, containers, model lifecycle management, observability and CI/CD practices. /p pResponsible AI: AIF360, Fairlearn, SHAP, LIME, explainability, bias detection and mitigation, AI governance, data protection and AI Act compliance. /p h3What we offer /h3 ul liHigh-impact project /li liCollaborative work environment /li liCareer Plan /li liTraining Plan /li liFlexible Remuneration /li /ul pThe 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 ******). /p /p #J-*****-Ljbffr