【TW Life】Senior AI Engineer
Tasks
- Adapt to shifting priorities
- Analyze business requirements
- Apply MLOps for model lifecycle management
- Build and deploy production ready AI systems
- Collaborate with global AI teams
- Design distributed high throughput low latency architectures
- Design scalable production AI applications
- Develop and review secure production code
- Identify improvements and prioritize user stories
- Implement LLMs and RAG solutions
- Lead AI system architecture from data to deployment
- Mentor junior engineers
- Provide daily standup progress updates
Perks/Benefits
- N/A
Skills/Tech-stack
Deep learning | Distributed Systems | Docker | FastAPI | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | PyTorch | Python | RAG | TensorFlow | Uvicorn
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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