Join to apply for the AI Engineer role at Nationale-Nederlanden
At Nationale-Nederlanden, we believe it is the person who makes the professional. We are strengthening our central teams based in Alcobendas, offering a hybrid, flexible, and inclusive work environment.
We are currently looking for an Artificial Intelligence Engineer to join our Advanced Analytics & AI team within the Data department.
Mission of the Role
To design, develop, and operationalize Generative AI solutions that create tangible business value. This role combines hands-on experimentation with cutting-edge AI technologies and the responsibility of bringing robust, scalable solutions into production.
What You Will Do
Design, develop, and deploy Generative AI models using Azure and Databricks (MosaicAI).
Rapidly prototype and test new GenAI use cases, frameworks, and tools.
Collaborate with cross-functional teams (Cloud, Data Science, IT, Business) to deliver both local and international AI projects.
Ensure scalability, performance, and maintainability of AI solutions in production environments.
Contribute to the evolution of our AI engineering best practices and MLOps pipelines.
Stay up to date with the latest developments in GenAI and actively share knowledge with the team.
What We Are Looking For
Degree in Engineering, Computer Science, Physics, or a related technical field.
At least 2 years of hands-on experience with Generative AI (e.g., LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines).
Strong programming skills in Python and experience with Spark.
Experience with Azure cloud services and Databricks.
Familiarity with CI/CD practices and infrastructure-as-code tools like Terraform.
Experience deploying machine learning models into production environments.
Experience with vector databases and frameworks such as LangChain or LlamaIndex.
Knowledge of responsible AI practices and model evaluation techniques.
Strong communication skills and ability to work in both local and international teams.
Fluent in English and Spanish.
Nice to Have
Master’s or PhD in Data Science, AI, or related fields.
Contributions to open-source AI projects or participation in AI communities.
What Do We Offer?
Benefits
We offer a range of competitive benefits to improve the physical, mental, and professional wellbeing of our employees. Examples include:
Hybrid working model
Starting financial aid to equip your home workspace
Allowance and telework subsidies
Flexible working hours and summer schedule
Life insurance and pension plan for all employees
Performance-based objectives bonus
Free parking and options for various commuting benefits
Wellness and health programs, training opportunities, and agile team practices
We are committed to diversity and equal opportunity in our organization.
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
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