Engineering manager - AI platform
Hybrid
(9000, Ghent, Ghent, Belgium)
R
EUR 60K-85K (estimate) Mid-level Full Time
Tasks
- Build MLOps components for ML lifecycle
- Collaborate with AI researchers and engineers
- Design build and maintain scalable AI platform
- Develop data governance and security best practices
- Lead and mentor software engineers
- Manage MLOps tools and integrations
- Monitor and improve training deployment and operations
- Optimize compute resources scheduling and costs
- Own product roadmap for AI platform
Perks/Benefits
- Career growth
- Flexible scheduling
- Hybrid work environment
- Occasional travel
- Professional development
Skills/Tech-stack
AWS | Agent systems | Argo | Azure | CI/CD | Cloud Computing | Distributed Systems | Docker | GCP | Go | Infrastructure as Code | JAX | Kubeflow | Kubeflow Pipelines | Kubernetes | LLMOps | MLOps | MLflow | Multi-Agent | Multi-Agent Systems | PyTorch | Python | Reinforcement Learning | TensorFlow | Terraform | “as-code”
Education
Roles
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