Senior AI Engineer
Tasks
- Build data pipelines
- Collaborate with product and engineering teams
- Deploy machine learning models
- Design machine learning models
- Detect bias in models
- Develop NLP solutions
- Develop machine learning models
- Develop predictive models
- Document AI solutions
- Ensure ethical AI compliance
- Implement MLOps pipelines
- Monitor deployed models
- Optimize model performance
- Research new AI applications
- Troubleshoot AI solutions
Perks/Benefits
- Equity opportunities
- Flexible leave programs
- Flexible time off
- Leadership programs
- Learning resources
- Paid Holidays
- Performance-based bonus program
- Remote-first
Skills/Tech-stack
AWS | Azure | Bias detection | Cloud Computing | Data Pipelines | Google Cloud | Language Processing | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Testing | Model Training | Natural Language | Natural Language Processing | Neural Networks | Predictive Modeling | PyTorch | Python | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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