AI/ML engineer | Veghel | Sligro | Hybride
Tasks
- Collaborate with data scientists and AI architects
- Convert complex technical work into maintainable solutions
- Design end to end AI and ML pipelines
- Implement MLOps pipelines with CI CD deployment and monitoring
- Integrate LLMs RAG and agentic workflows
- Manage feature stores and model registries
- Monitor model performance drift and data quality
- Productionize AI solutions on Google Cloud
Perks/Benefits
- 10 vacation days buy option
- 25 vacation days
- Access to events and outings
- Discount card with up to 500 euro savings
- Laptop and phone provided
- Unlimited access to online academy
Skills/Tech-stack
API | Agentic AI | CI/CD | Data Quality | Data integration | Deployment | Docker | Feature Store | Git | Google Cloud | Kubeflow | Kubernetes | LLM | Langchain | Lifecycle Management | MLOps | Machine Learning | Model Registry | Monitoring | Python | RAG | SQL | Terraform | Versioning | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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