AI/NLP/Data Engineer
Tasks
- Build NLP models
- Build generative AI models
- Collaborate with engineering teams
- Create tools to accelerate AI development
- Debug and optimize production models
- Deploy machine learning models
- Develop AI training workflows
- Develop machine learning pipelines
- Develop scalable AI infrastructure
- Improve model performance
- Monitor AI models in production
- Prototype algorithms for accuracy
- Research model improvements
- Train machine learning models
- Write technical documentation
Perks/Benefits
- Access to development tools and hardware
- Collaborative team environment
- Equity opportunities
- Medical, dental, vision benefits
- Unlimited paid time off
- Work from home
Skills/Tech-stack
AWS | Apache Airflow | Cloud platform | Data Pipelines | Deep learning | Docker | Experimentation Frameworks | Generative AI | Google Cloud | Google Cloud Platform | Language Processing | Linux | Machine Learning | Model Deployment | Monitoring | Natural Language | Natural Language Processing | Node.js | PyTorch | Python
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | NLP Engineer
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