Senior ML Engineer & GenAI — Production AI for Flight Ops

Xccelerated | Part of Xebia

Amsterdam

Hybrid

EUR 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Training days
Challenging assignment
MacBook
iPhone
Lunches & snacks

Job summary

Xccelerated | Part of Xebia in Amsterdam is seeking a Senior Data Scientist to bridge data science and ML engineering. You will develop models that run in production, turning data into robust tools for planners and crews in aviation.

You will work on end-to-end model development, testing, monitoring, and deployment, leveraging Spark, Kafka, Airflow, and Kubernetes, with GenAI-enabled solutions to optimize scheduling and operations.

Qualifications

  • 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 DS and ML production.
  • Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes.
  • Experience with GenAI implementations (RAG pipelines).

Responsibilities

  • Extract insights from large operational and flight data sources.
  • Build and productionize AI/ML models for delays, maintenance, 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 experience.

Skills

Data science
ML engineering
GenAI pipelines
Production ML

Education

Data Science/AI related degree

Tools

Spark
Kafka
Airflow
Kubernetes

Job description

Xccelerated | Part of Xebia in Amsterdam is seeking a Senior Data Scientist to bridge data science and ML engineering. You will develop models that run in production, turning data into robust tools for planners and crews in aviation.

You will work on end-to-end model development, testing, monitoring, and deployment, leveraging Spark, Kafka, Airflow, and Kubernetes, with GenAI-enabled solutions to optimize scheduling and operations.

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