Who we areNeotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organisation Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.Neotalent, the responsive people.Find out more about us at http://www.neotalentconclusion.com.Role OverviewWe are looking for anAI Engineerto integrate one of our teams working fully remotely for international clients across The Netherlands, Germany and other European locations.You will participate on the implementation of scalable AI solutions for one of our strategic clients. This role involves building intelligent systems that transform data and models into real business impact, leveraging modern cloud-native architectures and cutting-edge AI technologies.What you will doDesign, build, and operationalise AI-driven solutions using platforms such asDatabricksandMicrosoft Fabric ;Develop and maintain robustMLOps pipelinesto streamline model development, deployment, and monitoring;Integrate advanced AI capabilities (LLMs, RAG pipelines, predictive models, automation) into new and existing applications;Collaborate closely withdata scientiststo deliver end-to-end AI products.What you are likeProficient inDatabricksandMicrosoft Azureservices (Fabric, Synapse, Data Factory, Azure Open AI, Cognitive Services);Skilled inPython(including libraries such as scikit-learn, pandas, numpy) andSQL ;Experienced with modern ML/AI frameworks (Py Torch, Tensor Flow, Hugging Face) and vector database technologies;Strong understanding ofdata engineeringandMLOps tooling(Spark, MLflow, Kafka, Airflow, Docker, Kubernetes);Knowledgeable inmachine learning fundamentals, LLM integration, embeddings, and model deployment;Fluency in English.Why join usWork on challenging projects for big clients;Learn more about emerging technologies;Possibility of working remotely;Design your career plan;Access to continuous training and certifications;Evolve through our internal mobility programme;... and much more!