Senior ML Engineer: Scale Production-Grade AI in Aviation

Xccelerated | Part of Xebia; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Technical trainings & Innovation days

Challenging assignment

Macbook and Iphone

Lunches, coffee & snack bar

Flexible work from home & office in AM

Job summary

Xccelerated | Part of Xebia is seeking a Senior Data Scientist to join our Data team at the intersection of Data Science and ML Engineering in Amsterdam. You will help turn data into tools and models that support flight operations and decisions in a live environment.

You’ll work on productionizing AI/ML models for delays, maintenance, and crew scheduling, with a focus on robust, scalable solutions. You’ll collaborate across teams, work with Spark, Kafka, Airflow, Kubernetes, and GenAI frameworks

Qualifications

• 4-6 years of experience as a Data Scientist or ML(OPS)
• Hands-on experience with modeling and getting models into production
• Experience with open-source tools such as Spark, Kafka, Airflow or Kubernetes
• Demonstrated experience with GenAI implementations (RAG pipelines)

Responsibilities

• Extract insights from operational and flight data sources
• Build and productionize AI/ML models for flight delays, maintenance planning, and crew scheduling
• Contribute to large-scale optimization and simulation projects
• Develop tools to make complex processes transparent for planners and crews
• Work with real-time data and smart calculations to improve passenger and crew experience

Skills

Customer focus

Can-do attitude

Results oriented

Willingness to learn

Education

Data Science / Analytics / AI background

Tools

Spark

Kafka

Airflow

Kubernetes

Job description

Xccelerated | Part of Xebia is seeking a Senior Data Scientist to join our Data team at the intersection of Data Science and ML Engineering in Amsterdam. You will help turn data into tools and models that support flight operations and decisions in a live environment.

You’ll work on productionizing AI/ML models for delays, maintenance, and crew scheduling, with a focus on robust, scalable solutions. You’ll collaborate across teams, work with Spark, Kafka, Airflow, Kubernetes, and GenAI frameworks