Senior AI Software Engineer
Tasks
- Build integration testing and release governance
- Conduct code reviews
- Create ML and model version tracking
- Deploy ML services on Kubernetes
- Design production serving for ML systems
- Develop and deploy LLM applications
- Fine tune language models for production
- Implement monitoring observability
- Optimize GPU training and inference
- Own end-to-end ML lifecycle
Perks/Benefits
- Enhanced paid parental leave
- Flexible time off
- Flexible work hours
- Free snacks and drinks
- Health, Vision, Dental, Life Insurance
- Open-plan workspace
- Registered Retirement Savings Plan
- Social events
- Training access
- Wellness days
Skills/Tech-stack
AWS | Azure | CI/CD | Deep learning | Distributed Training | Docker | GPU | Google Cloud | Hugging Face | Knowledge graphs | Kubernetes | LLM APIs | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Monitoring | Multimodal | Observability | PyTorch | Python | Ray | Transformers | VLLM
Education
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