Applied AI Scientist
Tasks
- Advise clients on technical direction trade offs and solution design
- Build and deploy AI solutions
- Coach applied AI best practices
- Define non-functional requirements
- Develop software aligned with specifications
- Identify high value AI opportunities
- Own deliverables end-to-end
- Research and implement AI techniques models and tools
- Turn experiments into production components
Perks/Benefits
- Flexible hours
- Paid Pension Plan
- Paid sabbatical
- Parental program
- Training
- Wellness spending account
- Work from anywhere
Skills/Tech-stack
Agile | Amazon Web Services | Angular | CI/CD | Caching | Cloud Computing | Cloud platform | Computer Vision | Data Analysis | Data Augmentation | Data Preprocessing | Deep learning | Domain-Driven Design | End to End | End-to-End Testing | Functional testing | Google Cloud | Google Cloud Platform | Kanban | Keras | Language Processing | MLOps | Message Queues | Microservices | Microsoft Azure | Model Deployment | Model Monitoring | Model Training | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | React | Reproducibility | Scikit-learn | Scrum | Serverless | Svelte | TensorFlow | Time Series | Unit Testing | Web Services
Education
Roles
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