AI Engineer
Tasks
- Build AI-driven automation workflows
- Build Azure based secure data solutions
- Build end-to-end AI workflows
- Collaborate with stakeholders on requirements
- Create workflows with Power Automate
- Deploy and maintain AI ML pipelines with MLOps
- Design data engineering and machine learning solutions
- Develop scalable data pipelines
- Implement solutions on Databricks
- Integrate large language models
- Perform prompt engineering
Perks/Benefits
- Adoption leave
- Anniversary leave
- Birthday leave
- Career development opportunities
- Hybrid work model
- Mentorship
- Paternity leave
- Salary advance policy
- Well-being initiatives
- Work flexibility
- Work-life balance
Skills/Tech-stack
API Integration | Azure Data | Azure Data Lake | Azure Functions | Azure OpenAI | Data Lake | Databricks | Language Models | Large Language Models | MLOps | Machine Learning | OpenAI API | Power Automate | Prompt engineering | Python
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
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