MLOps Engineer: Production ML at Scale (Remote/Hybrid)

xebiacareers; Amsterdam; Hybrid; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Good salary

25 vacation days

MacBook and iPhone

Lunches and coffee bar

Work-from-home flexibility

Bootcamp training (2 weeks)

Technical trainings & innovation days

Job summary

Xccelerated in Amsterdam runs a 13-month advanced training program to launch you into ML engineering. You will join client projects like Heineken, Rabobank, ASML, Lely, FedEx, or Vattenfall after the bootcamp, working on data-driven ML systems and cloud architectures.

You’ll start with two full-time weeks of hands-on bootcamp, then work four days a week as a ML(ops) Engineer, with Fridays at the Xccelerated office or remote for ongoing training.

Qualifications

• Technical bachelor’s or master’s degree in a related field (Data Science, AI, etc.).
• 2–4 years of experience as ML Engineer or Data Scientist or similar roles.
• Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes.

Responsibilities

• Help data-driven teams build production-ready, scalable ML systems.
• Productionize ML models and maintain automated ML pipelines.
• Focus on scalability, usability and performance of ML infrastructure.

Skills

ML Engineer

Data Scientist

Education

Technical bachelor’s or master’s degree

Tools

Spark

Kafka

Airflow

Kubernetes

Job description

Xccelerated in Amsterdam runs a 13-month advanced training program to launch you into ML engineering. You will join client projects like Heineken, Rabobank, ASML, Lely, FedEx, or Vattenfall after the bootcamp, working on data-driven ML systems and cloud architectures.

You’ll start with two full-time weeks of hands-on bootcamp, then work four days a week as a ML(ops) Engineer, with Fridays at the Xccelerated office or remote for ongoing training.