Principal ML Engineer (Agentic AI)-Vendor Data Team
Tasks
- Architect and maintain scalable RAG data pipelines
- Build and operate production ML services and APIs
- Define infrastructure standards for deployment and reliability
- Design end to end ML and data systems
- Establish monitoring evaluation and observability frameworks
- Integrate ML with external APIs and tools
- Mentor engineers and set technical direction
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 work model
- Language courses
- Life and accident insurance
- Meditation
- Public transportation ticket discount
- Relocation support
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
Agent Orchestration | Data Processing | Docker | Embeddings | Evaluation | Inference Optimization | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Model Serving | Monitoring | Near-real-time | Near-real-time Processing | Observability | Python | Real Time | Real-time Data | Real-time Data Processing | Real-time Processing | Retrieval systems | Retrieval-Augmented Generation | SQL | Synthetic data | Terraform | Time processing | “as-code”
Education
N/A
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