Machine Learning Engineer
Foundya
Machine Learning Engineer
Samenvatting
Wat krijg je?
Wat ga je doen?
- Productie-waardige ML-oplossingen bouwen en onderhouden
- End-to-end ML-pijplijnen ontwerpen en onderhouden
- ML-modellen operationaliseren in systemen
- Schaalbare ML-infrastructuur op GCP bouwen
- Betrouwbare datapijplijnen ontwikkelen en beheren
Wat verwachten wij?
- 4 years of experience in ML Engineering
- Strong Python and software engineering skills
- Experience deploying ML models in production
- Experience with Docker SQL and Terraform
Volledige vacaturetekst
KLM is looking for a Machine Learning Engineer to join the Blue AI team within Operations. In this role, you turn ML and GenAI solutions into reliable, production-ready products that optimize everything from flight operations to meal planning. Working in a hybrid setup at Schiphol East, you will enjoy a high-impact environment where your code directly improves global travel. Ready to take flight with AI?
Machine Learning Engineer
KLM is looking for a Medior/Senior Machine Learning Engineer to join the Blue AI team within KLM Operations. You will work with ML Engineers, Data Scientists and Product Owners to turn ML and GenAI solutions into reliable, scalable and production-ready products . The solutions support critical operational processes such as flight operations, workforce planning, meal planning and delay optimization .
Dit ga je doenWhat you will do Build, deploy and maintain production-grade ML solutions .
Design and maintain end-to-end ML pipelines , from data preparation and training to deployment, monitoring and retraining.
Productionize ML models developed by Data Scientists and integrate them into operational systems.
Build and improve scalable ML infrastructure on Google Cloud Platform (GCP) .
Develop and maintain reliable data pipelines in collaboration with Data Engineers.
Develop and deploy LLM and RAG solutions for production use.
Apply strong software engineering practices, including clean code, testing, Git, CI/CD and code reviews .
Monitor and improve the performance, reliability, scalability and maintainability of ML solutions.
Collaborate closely with Data Scientists, Data Engineers and Product Owners to translate business needs into practical technical solutions.
Dit neem je meeWhat you bring 4+ years of relevant professional experience in ML Engineering, Software Development, MLOps or a related field.
Strong Python and software engineering skills.
Proven experience building, deploying and maintaining ML models in production .
Experience with ML pipelines and MLOps .
Experience with cloud-based ML solutions , preferably GCP .
Hands-on experience with LLMs and RAG , preferably in production environments.
Experience with Docker, SQL, REST APIs and Terraform .
Experience with data pipelines and large-scale data processing.
Strong collaboration skills and experience working with Data Scientists and Data Engineers .
A proactive, analytical mindset and the ability to translate business requirements into practical engineering solutions.
Team & working environment You will join the Blue AI team , consisting of ML Engineers, Data Scientists and Product Owners. The team is part of KLM’s Data, OR & AI department. The role is hybrid , with approximately 1-2 days per week at KLM’s office at Schiphol East .
Key technologies Python | Machine Learning | MLOps | GCP | LLMs | RAG | Docker | Terraform | SQL | CI/CD | Git
Zo werkt hetScreening Om de betrouwbaarheid en integriteit van kandidaten te toetsen is screening onderdeel van de sollicitatieprocedure. Voor vragen over de screeningprocedure kunt u contact opnemen met de vermelde contactpersoon bij de betreffende vacature of interim opdracht.
Over de werkgever
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