Senior Machine Learning Engineer

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

• 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 itself

• Work 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

This is you

From 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

What Xccelerated offers

• Technical trainings & Innovation days for a full year (every week)
• Challenging assignments
• Macbook and Iphone
• Lunches, amazing coffee and snack bar
• Flexibility in working from home & at the office

Interested? We’d love to meet you!

Please get in touch! Contact Samantha Alves Goncalves at [e-mail] or by phone at 0613889770.

Application Process

• First interview with one of our Recruitment consultants
• Technical interview with one of our Technical leads

We aim to complete an application process (from application to offer) within 1-3 weeks. As you will un