As a Machine Learning Engineer at Xomnia, your work for our clients will range from building data pipelines to data exploration and modeling, to productionizing your models and deploying them in a cloud environment. For instance, our team has developed scalable deployment pipelines using MLOps best-practices for a large insurance company in the Netherlands, enabling business teams to swiftly productionize a machine learning model for a new department.
Additionally, we have undertaken diverse projects, such as optimizing the electricity grid for the future, ensured you have stable internet connection at home and collaborated with LUMC on cancer research.
Together with the team, you will implement and adapt best-practises for modeling, programming and engineering using the latest MLOps principles, which includes automation, CI/CD and orchestration. These principles apply to the whole chain of the machine learning lifecycle, from ideation to deployment and monitoring. We value knowledge sharing and staying ahead of the curve in our constantly evolving field, with opportunities to explore and work with emerging technologies such as Generative AI. We are looking for a team player who is dedicated to keep learning, and enjoys sharing knowledge with others.
Please note that for this position, we are looking for candidates that have the legal right to work in the Netherlands as we do not offer visa sponsorship.
Xomnia started in 2013 in one room in the heart of Amsterdam. These days we take up nearly two houses. But more than just a workspace, we're a community that values authenticity. Here, everyone is encouraged to be themselves, to learn, and to have fun in the process.
Representing over 20 nationalities, our team values the unique cultural perspective that each individual brings to the table. Moreover, with the Dutch tech sector seeing a female representation around 11%, we are proud that over 30% of our workforce is female. Nevertheless, we recognize that there is more to be done, and we continue working to overcome barriers that still exist.
We encourage all candidates to apply, and we don’t discriminate based on race, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age. However, a reality that we face is that many of our clients prefer to communicate in Dutch, making Dutch proficiency essential for some roles. Additionally, while we wish that we could sponsor visas for everyone, there are instances when it is not feasible.
