ML & AI Engineer II
Tasks
- Build data pipelines
- Conduct model experimentation
- Deploy machine learning models
- Design machine learning models
- Develop machine learning models
- Enable AI governance
- Implement model monitoring
- Improve model performance
- Integrate AI solutions into production
- Manage AI model lifecycle
- Translate business challenges into AI solutions
Perks/Benefits
Skills/Tech-stack
Agentic AI | Amazon Web Services | Azure | Cloud Computing | Cloud platform | Computer Vision | Data Pipelines | Deep learning | Generative AI | Google Cloud | Google Cloud Platform | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Python | SQL | Web Services
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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