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Xccelerated | Part of Xebia
Xccelerated | Part of Xebia

Senior ML Engineer | Software engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Data Science
Data
Machine Learning
+19

Permanent role
3 days ago
Apply now

Senior ML Engineer | Amsterdam | Hybrid

We're looking for a Senior Data Scientist to join our growing Data team working at the intersection of Data Science and Machine Learning Engineering. As part of this team, you'll turn that data into tools and models that help crews and planners make better, faster decisions and build sustainable solutions for the aviation of the future.

This isn't a role about isolated proof-of-concepts. The focus is on getting models robust and running at scale in a live environment: from analysis and model development through to testing, monitoring and maintaining them once they're actually in use.

What you'll work on

  • Extracting insights from fast-growing operational and flight data sources
  • Building and productionizing AI/ML models that predict flight delays, optimize maintenance planning, and support smarter crew scheduling.
  • Contributing to large-scale optimization and simulation projects
  • Developing tools that make complex operational processes more transparent for planners and crews, supporting faster decision-making
  • Working with real-time data and smart calculations to improve the passenger and crew experience

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 background in Data Science, Business Analytics, or Artificial intelligence

✅ 4-6 years of work experience as a Data scientist or ML(OPS)

✅ Hands-on experience with both the Data Science side (modeling, analysis) and the Machine Learning side, including getting models into production

✅ Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

✅ Demonstrated experience with production-grade GenAI implementations (modern GenAI/LLM frameworks such as RAG pipelines)

✅ Active stakeholder interaction

What Xccelerated offers

💰 Good salary

🛫 25 vacation days

📊 Technical trainings & Innovation days for a full year (every week)

✅ Challenging assignment

💻 Macbook and Iphone

🍎 Lunches, amazing coffee and snack bar

🎒Flexibility in working from home & at the office in Amsterdam

Interested? We’d love to meet you!

Please get in touch! Contact Samantha Alves Goncalves at sgoncalves@xccelerated.io 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

About Xccelerated | Part of Xebia

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