Senior AI Engineer
Tasks
- Apply testing MLOps and observability best practices
- Build and deploy ML models from prototype to production
- Collaborate cross-functionally to develop scalable systems
- Improve model accuracy, performance, and reliability
- Monitor delivery and ensure timely high quality outcomes
- Own full lifecycle of ML projects
- Translate requirements into structured work packages
Perks/Benefits
- Career growth opportunities
- Company paid life insurance
- Company-paid disability insurance
- Dental insurance
- Employee assistance program
- Learning opportunities
- Medical insurance
- Paid Holidays
- Paid sick time
- Paid vacation
- Vision insurance
Skills/Tech-stack
API Integration | Google Cloud | Kubernetes | LLM API | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Observability | Python
Education
Roles
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