Help data-driven teams to build production-ready, scalable machine learning systems✅ Productionizing machine learning models✅ Maintain and improve automated ML pipelines and ML experimentation infrastructure focusing on scalability, usability, and performance

• The role itselfWork 4 days a week as a ML(ops) Engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall
• Join us every Friday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leads
• At the end of your first year, you get the opportunity to join the partner organization directly

As a ML(ops) Engineer you will work together with other medior- and senior team members on challenging projects for our clients. In these projects you will work on data science & ML related topics, such as predictive software solutions, fraud detection or data engineering challenges such as building data pipelines, developing on cloud architectures and productionizing machine learning models.Besides this, you like big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are used to build production-ready scalable applications driven by data and AI.

This is youFrom a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:

✅ A technical bachelor’s or master’s degree (e.g. Data Science, Econometrics, Artificial Intelligence)✅ 4-5 years of work experience as a ML Engineer or Data scientist✅ Statistical knowledge but are mainly experienced with end to end systems and able to run, deploy and monitor them✅ Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes✅ Speaks proficient Dutch

• What Xccelerated offers