Principal ML Engineer (Agentic AI)-Vendor Data Team
Tasks
- Architect and maintain scalable data pipelines
- Build and operate production grade ML services and APIs
- Define infrastructure deployment and reliability standards
- Design end to end ML and data systems
- Establish monitoring evaluation and observability frameworks
- Integrate ML systems with external APIs and tools
- Mentor engineers and set technical direction
Perks/Benefits
- 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
- Paid time off
- Parental support
- Public transportation ticket discount
- Relocation support
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
API Integration | Agent Orchestration | Data Generation | Data Pipelines | Docker | Embeddings | Feature Engineering | Infrastructure as Code | Kubernetes | LLM Agents | Langfuse | Langsmith | Language Models | Large Language Models | Model Evaluation | Model Serving | Monitoring | Observability | Python | RAG | SQL | Synthetic Data Generation | Synthetic data | Terraform | “as-code”
Education
N/A
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