ML Ops Engineer — 4-Day Week, Remote, Production Systems

Xccelerated | Part of Xebia; Rotterdam; Hybrid; EUR 70,000 - 90,000; Part time

Benefits offered by this job

Technical trainings

MacBook & iPhone

Lunches & coffee

Job summary

Xccelerated | Part of Xebia is seeking a ML(ops) Engineer to help data-driven teams productionize scalable ML systems. You will work four days a week on client projects like Heineken, Rabobank, ASML, focusing on building, deploying and monitoring end-to-end pipelines.

You join our Friday sessions at the Amsterdam office or remote for ongoing trainings and project support from Technical leads, with a pathway to join the partner organization after the first year.

Qualifications

• Bachelor's or Master's degree in a technical field (Data Science, Econometrics, AI).
• 4–5 years of work experience as ML Engineer or Data Scientist.
• Strong ability to run, deploy and monitor end-to-end ML systems.
• Experience with open-source tools like Spark, Kafka, Airflow or Kubernetes.

Responsibilities

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

Skills

ML engineering

Data science

Customer focus

Education

Data Science / Econometrics / AI degree

Tools

Spark

Kafka

Airflow

Kubernetes

Job description

Xccelerated | Part of Xebia is seeking a ML(ops) Engineer to help data-driven teams productionize scalable ML systems. You will work four days a week on client projects like Heineken, Rabobank, ASML, focusing on building, deploying and monitoring end-to-end pipelines.

You join our Friday sessions at the Amsterdam office or remote for ongoing trainings and project support from Technical leads, with a pathway to join the partner organization after the first year.