Ai Engineer

Who we are

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.

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

Role Overview

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.

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 do

• Design, build, and operationalise AI-driven solutions using platforms such as Databricks and Microsoft Fabric ;
  
  
• Develop and maintain robust MLOps pipelines to streamline model development, deployment, and monitoring;
  
  
• Integrate advanced AI capabilities (LLMs, RAG pipelines, predictive models, automation) into new and existing applications;
  
  
• Collaborate closely with data scientists to deliver end-to-end AI products.

What you are like

• Proficient in Databricks and Microsoft Azure services (Fabric, Synapse, Data Factory, Azure OpenAI, Cognitive Services);
  
  
• Skilled in Python (including libraries such as scikit-learn, pandas, numpy) and SQL ;
  
  
• Experienced with modern ML/AI frameworks (PyTorch, TensorFlow, HuggingFace) and vector database technologies;
  
  
• Strong understanding of data engineering and MLOps tooling (Spark, MLflow, Kafka, Airflow, Docker, Kubernetes);
  
  
• Knowledgeable in machine learning fundamentals , LLM integration, embeddings, and model deployment;
  
  
• Fluency in English.

Why join us

• Work on challenging projects for big clients;
  
  
• Learn more about emerging technologies;
  
  
• Possibility ofworking remotely;
  
  
• Design your career plan;
  
  
• Access to continuous training and certifications;
  
  
• Evolve throughour internal mobility programme;
  
  
• … and much more!