Principal ML Engineer (Agentic AI)-Vendor Data Team
Tasks
- Architect scalable data pipelines for RAG and embeddings
- Build and operate production ML services and APIs
- Define infrastructure and deployment reliability standards
- Design and own end to end ML and data systems
- Integrate ML systems with external APIs and operational tools
- Lead security best practices for AI systems including secure prompt handling and data privacy
Perks/Benefits
- Bicycle subsidy
- Corporate discounts
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym subsidy
- Health checkups
- Hybrid working model
- Language courses
- Life and accident insurance
- Meditation
- Paid time off
- Public transportation ticket discount
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
API Integration | Adversarial security | Cloud | Data Privacy | Data Processing | Docker | Embeddings | Infrastructure as Code | Kubernetes | Monitoring | Observability | Prompt handling | Python | RAG | Real Time | Real-time Data | Real-time Data Processing | Retrieval-Augmented Generation | SQL | Secure Prompt Handling | Terraform | “as-code”
Education
N/A
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