On this occasion, 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 other IT specialists in designing advanced analytics solutions.
- 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 business requirements and objectives and design Machine Learning solutions that meet those requirements
- Document and communicate results and findings to team members, stakeholders, and business and IT teams
- Degree in a technical career (preferably Engineering or Physics) with a Master's in Data Science (desirable)
- Advanced level of English
- Advanced knowledge in Python and Spark, valuable in R
- Desirable knowledge of Azure services, and desirable experience in Azure Cognitive Services and Databricks. Desirable knowledge in Terraform and Biceps
- Desirable experience in the development and productization of Machine Learning models in the cloud.
- Experience in CI/CD (Continuous Integration and Delivery): Skills to automate the deployment of Machine Learning models and applications
Benefits
As part of our Employee Experience, we offer you a range of competitive benefits that are available to you in order to improve the physical, mental, and professional wellbeing of our workers. Among the benefits are:
- We work with a hybrid model
- Starting financial aid so you can equip your work space at home
- Allowance and telework subventions
- Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time
- We hire a life insurance and a pension plan for all our employees
- We establish objectives bonus as a performance reward
- You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.
- Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings…
- We care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
- We care about your wellbeing. We have a Wellness Program available.
- We are digital and we love technology. Also, every team works under agile methodology.
In Nationale-Nederlanden we are committed with diversity. We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation. One of our core values is taking care of our employees so they can give their best within a respectful environment.
Veure més
No et perdis res!
Uneix-te a la comunitat de wijobs i rep per email les millors ofertes d'ocupació
Mai no compartirem el teu email amb ningú i no t'enviarem correu brossa
Subscriu-te araDarreres ofertes d'ocupació de Enginyer/a de Machine Learning a Madrid
Devops Engineer
NovaRandstad ES
Sopra Steria
Madrid, ES
Grupo NS
Michael Page
AWS Cloud Engineer Senior
22 de jul.GlobalSysInfo
Madrid, ES
DevOps especializado en Azure
22 de jul.Santander
Madrid, ES
Ingeniero/a de sistemas Linux
22 de jul.CAS TRAINING
Madrid, ES
Senior DevOps Engineer
19 de jul.BASF
Madrid, ES
Senior Devops Engineer
18 de jul.Randstad ES
Madrid, ES
GTH DevOps Analyst
18 de jul.Santander
Madrid, ES