Principal ML Engineer (Agentic AI)-Vendor Data Team
Tasks
- Architect scalable data pipelines for RAG and embeddings
- Build production ML services and APIs
- Define infrastructure deployment and reliability standards
- Design end to end ML and data systems
- Ensure secure prompt handling and data privacy
- Implement security best practices for AI systems
- Integrate ML systems with external APIs and tools
Perks/Benefits
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Gym membership
- Health checkups
- Hybrid work model
- Language courses
- Life and accident insurance
- Meditation
- Paid time off
- Public transportation ticket discount
Skills/Tech-stack
APIs | Adversarial Attacks | Data Privacy | Data Processing | Data Quality | Docker | Embeddings | Infrastructure as Code | Kubernetes | Monitoring | Observability | Python | Real Time | Real-time Data | Real-time Data Processing | Retrieval-Augmented Generation | SQL | Terraform | “as-code”
Education
N/A
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