Senior Machine Learning Engineer
Tasks
- Deploy and operate AI services across cloud and Kubernetes
- Design build and maintain GenAI solutions including RAG pipelines agent workflows backend APIs and reusable services
- Diagnose production issues and contribute to standards for secure reliable maintainable AI systems
- Enhance CI CD deployment automation observability versioning rollback and production readiness for AI workloads
- Implement guardrails access controls and policy enforcement for models prompts agents and tools
- Improve authentication rate limiting quotas token usage and cost monitoring
- Maintain shared AI platform services LLM gateways model routing vector search and orchestration
- Stabilize and mature AI platform for production LLM RAG and agent solutions
Perks/Benefits
- Annual leave
- Company gym access
- Continuous learning opportunities
- Flexible working hours
- Free parking
- Hybrid work model
- Private health insurance
- Snacks and drinks
Skills/Tech-stack
API Gateways | Authentication | CI/CD | Cloud Platforms | Cost monitoring | Docker | Kubernetes | LLM | Model routing | Observability | Python | RAG | Rate Limiting | Relational databases | Search databases | Token Management | Vector Databases | Vector Search | Vector search databases
Education
N/A
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