AI Model Developer
Tasks
- Build GraphQL APIs
- Build fine tune and train models in Python
- Build restful APIs
- Deploy models to production using MLOps
- Design machine learning models
- Develop event-driven microservices
- Develop frontend interfaces for ai applications
- Document deployment processes
- Document model architectures and APIs
- Ensure scalability, security, and performance
- Evaluate models with domain metrics
- Integrate AI models into mobile applications
- Integrate AI models into web applications
- Optimize model performance
- Participate in code reviews
- Perform data preprocessing and feature engineering
Perks/Benefits
Skills/Tech-stack
AWS | Angular | Azure | CI/CD | D3.js | Data Preprocessing | Data Visualization | Deep learning | Django | Docker | FastAPI | Feature Engineering | Flask | GCP | GitHub | GitHub Actions | GraphQL | JavaScript | Kubernetes | Linear Algebra | MLOps | Machine Learning | Matplotlib | Microservices Architecture | MongoDB | MySQL | Next.js | NoSQL | NumPy | Pandas | Plotly | PostgreSQL | PyTorch | Python | REST | React | Redis | SQL | Scikit-learn | Secure Development | Statistics | TensorFlow | Transformers | TypeScript | Vue.js
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Model Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer | Model Developer
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