AI/NLP/Data Engineer
Tasks
- Build AI workflow tools and automation systems
- Build deploy NLP and machine learning models
- Collaborate to accelerate AI development and deployment
- Design data processing pipelines
- Develop scalable AI training and deployment infrastructure
- Maintain technical documentation and knowledge sharing
- Monitor debug and optimize models in production
- Research prototype and improve machine learning algorithms
Perks/Benefits
- Access to Collaboration Platforms
- Access to development tools
- Continuous learning environment
- Equity opportunities
- Medical/Dental/Vision insurance
- Remote work from home
- Unlimited paid time off
Skills/Tech-stack
AWS | Airflow | Cloud platform | Data Pipelines | Deep learning | Docker | Experimentation Frameworks | Generative AI | Google Cloud | Google Cloud Platform | Language Processing | Limited data learning | Linux | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | Speech Processing
Education
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer | NLP Engineer
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