Join to apply for the Machine Learning Engineer role at Nationale-Nederlanden .
At Nationale-Nederlanden, it's the person who makes the professional. Following the company's strategy, we are looking to strengthen our structure within our central offices located in Alcobendas, in a hybrid, flexible, and accommodating work environment.
We offer a vacancy for a Machine Learning Engineer for the Data – Advanced Analytics & AI team.
What is the purpose / mission of the position?
Development, implementation, and maintenance of machine learning and generative AI systems. Work alongside other data scientists, data analysts, business specialists, and IT specialists in designing advanced analytics solutions.
What will you do?
* Develop and productize Machine Learning models in the cloud using Azure and Databricks services.
* Perform feature engineering for data preparation for Machine Learning models.
* Collaborate with the Cloud team and the Data Science Hub in the implementation and maintenance of projects that use Generative AI.
* Optimize and improve the performance of Machine Learning models in the cloud.
* Work closely with business and IT teams to understand requirements and design solutions.
* Document and communicate results and findings to team members, stakeholders, and other teams.
What are we looking for?
* Degree in a technical career (preferably Engineering or Physics) with a Master's in Data Science (desirable).
* Advanced level of English.
* Proficiency in Python and Spark; knowledge of R is valuable.
* Desirable knowledge of Azure services, Azure Cognitive Services, Databricks, Terraform, and Biceps.
* Experience in developing and productizing Machine Learning models in the cloud.
* Experience with CI/CD processes and automating deployment of ML models.
What do we offer?
We provide a range of benefits including hybrid work, financial aid for home workspace, flexible hours, summer intensive months, life insurance, pension plans, performance bonuses, free parking, flexible retributions, and wellness programs.
We are committed to diversity and equal opportunities and foster an inclusive environment.
Additional Information
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
#J-18808-Ljbffr