P Who we are p Neotalent 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.
/pp 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.
/pp 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.
/pp Neotalent, the responsive people.
/pp Find out more about us at /pp Role Overview /pp We are looking for an AI Engineer to integrate one of our teams working fully remotely for international clients across The Netherlands, Germany and other European locations.
/pp 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.
/pp What you will do /pulli Design, build, and operationalise AI-driven solutions using platforms such as Databricks and Microsoft Fabric; /lili Develop and maintain robust MLOps pipelines to streamline model development, deployment, and monitoring; /lili Integrate advanced AI capabilities (LLMs, RAG pipelines, predictive models, automation) into new and existing applications; /lili Collaborate closely with data scientists to deliver end-to-end AI products.
/li /ulp What you are like /pulli Proficient in Databricks and Microsoft Azure services (Fabric, Synapse, Data Factory, Azure OpenAI, Cognitive Services); /lili Skilled in Python (including libraries such as scikit-learn, pandas, numpy) and SQL; /lili Experienced with modern ML/AI frameworks (PyTorch, TensorFlow, HuggingFace) and vector database technologies; /lili Strong understanding of data engineering and MLOps tooling (Spark, MLflow, Kafka, Airflow, Docker, Kubernetes); /lili Knowledgeable in machine learning fundamentals, LLM integration, embeddings, and model deployment; /lili Fluency in English.
/li /ulp Why join us /pulli Work on challenging projects for big clients; /lili Learn more about emerging technologies; /lili Possibility of working remotely; /lili Design your career plan; /lili Access to continuous training and certifications; /lili Evolve through our internal mobility programme; /lili ... and much more!
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