AI Engineering Intern
Tasks
- Build data pipelines
- Design AI and ML models
- Develop AI and ML applications
- Develop AI prototypes in cloud
- Document code and experiments
- Experiment with large language models
- Optimize inference workflows
- Participate in code reviews
- Perform prompt engineering
- Present project findings
- Support sprint planning
- Test and deploy AI and ML solutions
- Use AI APIs
- Work with structured datasets
- Work with unstructured datasets
Perks/Benefits
Skills/Tech-stack
API | AWS | Algorithms | Azure | CI/CD | Cloud platform | Data Pipelines | Data Structures | Deep learning | DevOps | Git | Google Cloud | Google Cloud Platform | Inference | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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