Artificial Intelligence Engineer

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Founder NAS Recruitment | Executive Search | Connecting IT, Data & Technology Professionals |

Are you an AI enthusiast with strong Python skills and a drive to turn complex data into intelligent, scalable solutions? Our client is looking for an AI Engineer to help build cutting-edge machine learning models, drive innovation, and bridge the gap between research and production in a global tech environment.

In this role, You will be part of a multidisciplinary global analytics team, working alongside data engineers, analysts, and business stakeholders. This role offers the opportunity to build robust AI products, test and validate advanced models, and help drive the organization’s digital transformation.

KeyResponsibilities

• Design and develop machine learning solutions to solve complex business challenges.
• Validate and monitor model performance through A/B testing and other evaluation techniques.
• Build and maintain scalable data pipelines and deploy models using Python, SQL, Azure, and Databricks.
• Explore and apply emerging GenAI solutions (e.g., LLMs, RAG, vector search) to enhance analytics capabilities.
• Collaborate with business stakeholders to translate problems into AI-driven solutions.
• Integrate models and tools into production environments and ensure monitoring and scalability.
• Contribute to the improvement of team best practices in development, versioning, and CI/CD pipelines.

Education andExperience

We are looking for a pragmatic, hands-on AI Engineer with strong technical skills and an ability to bridge the gap between analytics and business. You are proactive, curious, and always looking to deliver practical, impactful solutions.

• Bachelor’s or Master’s degree in Data Science, Computer Science, or similar (bonus if combined with economics).
• At least 3 years of relevant experience in AI/ML model development and deployment.
• Strong programming skills in Python and SQL.
• Experience with Azure cloud services and Databricks.
• Familiarity with DevOps and MLOps practices, including containerization and CI/CD.
• Understanding of API development and data integration tools.
• Experience with GenAI and interest in staying up to date on new trends in AI is a plus.
• Excellent command of English; Dutch is a plus.

What does our client offer?

Our client offers good working conditions in addition to ample development opportunities within a close-knit and pleasant team in a working environment. It includes the following salary package:

• Competitive base salary between €64,800 and €77,760 per year, depending on experience.
• Performance-based bonus of up to two months’ salary annually.
• Hybrid working model: 3 days at the office, 2 days working from home.
• International work environment with cross-border collaboration.
• Beautiful offices featuring free healthy lunches and snacks.
• Supportive culture with growth opportunities and learning initiatives.
• Excellent pension scheme and additional employee benefits.

Desired Competences

• Problem Solving & Analytical Thinking: You enjoy dissecting complex integration challenges and turning them into elegant, scalable solutions.
• Business & Stakeholder Awareness: You’re able to translate business needs into technical integration flows, balancing priorities and stakeholder expectations.
• Initiative & Proactiveness: You don’t just wait for tickets—you spot opportunities for improvement and take ownership to drive them forward.
• Technical Communication: You can clearly explain integration logic, workflows, and technical designs to both technical and non-technical stakeholders.
• Collaboration & Teamwork: You work well in cross-functional teams, helping bridge the gap between software development, infrastructure, and business.
• Attention to Detail: Data accuracy and system consistency are critical in integrations—you take pride in clean, maintainable, and well-tested code.
• Adaptability & Flexibility: Whether you’re shifting between platforms (Boomi, Azure, APIs) or adjusting to new project needs—you adapt fast and stay focused.
• Documentation & Process Discipline: You know that great integrations are not just built—they're documented, monitored, and continuously improved. xnkfpon

Seniority level

• Seniority levelAssociate

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesTransportation, Logistics, Supply Chain and Storage

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