Mid-Level AI Engineer
Tasks
- Build text representations
- Collect and organize datasets
- Create event driven actions
- Design NLP applications
- Implement NLP algorithms
- Improve reporting with AI analytics and automation
- Integrate AI features into production systems
- Stay current with LLM and machine learning
- Train and evaluate machine learning models
Perks/Benefits
- Flexible working hours
- Friday afternoons off
- Remote-first environment
- Training programs
- Transportation support
- Wellness benefits
- Work-from-home equipment
Skills/Tech-stack
AWS | Big Data | Event Driven | Event-driven architecture | Google Cloud | Hugging Face | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | RAG | Semantic Extraction | TensorFlow | Text Classification
Education
Roles
AI | AI Engineer | Engineer
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