Machine Learning Engineer

✔ Are you a skilled machine learning engineer with a strong background in algorithm development and implementation?✔ Are you looking for a role that combines hands-on technical work with consulting?✔ Do you get satisfaction from seeing your models and algorithms being used in real-world applications?✔ Do you enjoy being part of a team of experts who are passionate about machine learning and AI?
Then Xomnia is the place for you!
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.
What you will be working on
Collaborating with a cross-functional team at our client to understand business requirements and identify opportunities for applying machine learning
Designing and implementing machine learning models using a variety of techniques
Developing and maintaining machine learning pipelines, including feature preparation, model training, model deployment and model serving using MLOps principles.
Analyzing and interpreting results to inform decision-making and drive continuous improvement
Staying up-to-date with the latest machine learning techniques and technologies and apply them to business problems as appropriate
Following and setting best practices in modeling, programming, automation, and CI/CD

A minimum of 3 years experience in a position such as a machine learning engineer, data scientist or data engineer, building scalable solutions to bring models to production
A degree in computer science, data science, artificial intelligence or similar
Enthusiasm for MLOps and GenAI
Experience in data wrangling and building data pipelines
Advanced knowledge of statistics and mathematics
Experience with building batch and streaming ETL pipelines
Excellent Software Engineering skills in Python (bonus: Scala or Java)
Experience with containerisation (Docker), CI / CD and testing
Experience in working with at least one cloud environment (Azure, GCP, AWS)
Keen on sharing knowledge and being eager to keep developing yourself
Affinity for consulting and a drive to help clients
Proficiency is is mandatory and highly preferred.

Office in the heart of Amsterdam
Ability to take unpaid leave
Full compensation of travel costs
Free healthy lunches at the office

We are a company that brings together extensive expertise and a deep passion for data and AI. Driven by the desire to disrupt the status quo and push the boundaries of innovations, we work with clients to deliver cutting-edge solutions for real-world challenges. Our culture of sharing and our open, inclusive environment allow knowledge to flow freely and diverse ideas to be acknowledged. With a team of agile change-makers, we are ready for a future where Xomnia can redefine the limits of what possible with data and AI.
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.
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