Generative AI Scientist
Tasks
- Assess business value and risks using machine learning
- Communicate findings to technical and non-technical audiences
- Conduct exploratory data analysis
- Create data pipelines for end user consumption
- Deploy models to production
- Develop end to end value based solutions
- Develop validation test sets for QA
- Document analysis approach and results
- Monitor model performance
- Prepare and train machine learning models
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Flexible remote work
- Life insurance
- Medical insurance
- Paid family leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Apache Spark | Artificial Intelligence | Azure | Cloud platform | Fine Tuning | GPU | Google Cloud | Google Cloud Platform | Huggingface | Keras | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | NLTK | Natural Language | Natural Language Processing | OpenAI | Pandas | PyTorch | Scikit-learn | TensorFlow | Transformers | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
AI Engineer | Data Scientist | Engineer | Generative AI Engineer | Scientist
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