AI Engineer
Tasks
- Build scalable data pipelines and backend services for AI applications
- Collaborate with product teams to translate requirements into AI solutions
- Conduct experimentation testing and validation for model reliability
- Design develop deploy AI ML models for production use cases
- Integrate AI models into web and backend systems using APIs
- Monitor and improve deployed models for continuous performance
- Retrain and optimize models to maintain accuracy
- Stay current with AI machine learning and cloud AI services
- Train fine tune evaluate and optimize models
Perks/Benefits
- Access to development resources
- Autonomy
- Career growth
- High ownership
- Hybrid work
- Learning culture
- Remote work
Skills/Tech-stack
API Development | AWS | Algorithms | Azure | Backend Development | Cloud platform | Data Pipelines | Data Structures | Deep learning | Fine Tuning | Google Cloud | Google Cloud Platform | Machine Learning | Model Evaluation | Model Fine-tuning | Model Optimization | Model Training | PyTorch | Python | Scikit-learn | TensorFlow
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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