Machine Learning Engineertrainee

hace 4 días

Madrid, España NN Group A tiempo completo

In Nationale Nederlanden, the person is the one that makes the professional. Following the company’s strategy, we want to reinforce our structure within our main offices located in Alcobendas, with an hybrid, flexible, and conciliatory work environment.

On this occasion, we offer an Internship of Machine Learning EngineerTrainee in the Analytics, AI & Data Monetization area.

This role is designed for an individual eager to learn and support Data Scientists and AI Engineers in ensuring the proper functioning of AI models.

Advanced in English is essential due to our collaboration with international colleagues.

Additionally, the trainee will be exposed to and learn about Generative AI topics.
Key Responsibilities:
- Assist in developing and productionizing Machine Learning models in the cloud using Azure and Databricks services.- Support feature engineering for data preparation for Machine Learning models.- Collaborate in implementing and maintaining projects utilizing Generative AI.- Document and communicate results and findings to team members, stakeholders, and business and IT teams.- Assist in transforming data (feature engineering), data visualization, and statistical analysis.

Qualifications needed:
- Programming skills. Ideally in Python, SQL.- Strong passion for technology and eagerness to learn.-
- Excellent listening skills and humility.- Ability to interact and communicate effectively with non-technical stakeholders.- Advanced proficiency in English, both written and spoken.- Basic understanding of Machine Learning concepts- Interest in Generative AI and willingness to learn about it.

Nice to have:
- Undergraduate in technical field (STEM).- Understanding of Cloud services. Azure, Databricks is a plus.- Technical master’s in data science.

What We Offer:
- Opportunity to work with a dynamic and innovative team.- Exposure to cutting-edge AI and Machine Learning technologies.- Professional development and learning opportunities in the field of Generative AI.- Collaborative and inclusive work environment with international exposure.

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