AI Engineer
Tasks
- Build APIs and microservices
- Build ETL processes
- Build end-to-end AI solutions
- Create prototypes
- Design and develop GenAI models
- Design data pipelines
- Develop containerized applications
- Handle enterprise data sources
- Implement prompting strategies
- Integrate AI with business systems
- Maintain scalable code
- Manage model lifecycle
- Research and evaluate AI technologies
Perks/Benefits
- Collaborative environment
- Flexible working hours
- Learning and development support
- Remote work options
Skills/Tech-stack
API Development | Containerization | Data Pipeline Engineering | Data cleaning | Data pipeline | Deep learning | Docker | ETL | Enterprise Software | Enterprise Software Development | Generative AI | Machine Learning | Microservices | Model Optimization | Pipeline engineering | Security | Software development | Version control
Education
Roles
AI | AI Engineer | Engineer
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