Mid-Level AI Engineer
Tasks
- Build text representations
- Collect and organize datasets
- Design NLP applications
- Enhance reporting with AI analytics
- Implement NLP algorithms
- Improve conversation insights
- Integrate AI features into production systems
- Maintain LLM and machine learning currency
- Optimize NLP pipelines
- Train and evaluate models
Perks/Benefits
- Flexible working hours
- Friday afternoons off
- Quarterly off-sites
- Remote-first environment
- Training programs
- Transportation support
- Wellness benefits
- Work-from-home equipment
Skills/Tech-stack
AWS | BERT | 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 | Retrieval-Augmented Generation | Semantic Classification | Statistical Analysis | TensorFlow | Text Representation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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