Applied Artificial Intelligence (AI) Engineer
Tasks
- Analyze model performance latency drift and cost
- Build data pipelines for structured and unstructured data
- Build deploy and monitor AI solutions and workflows
- Collaborate with data science product data engineering and platform teams
- Create API based applications and integrations
- Create document extraction workflows and AI assistants
- Create reusable code documentation and tooling
- Develop test and support AI models and services
- Evaluate train and retrain models using established workflows
- Implement process automation using AI and LLMs
- Monitor deployed models and support corrective actions
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Azure | Azure OpenAI | Copilot Studio | Data Drift | Data Pipelines | Document processing | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Model Deployment | Model Monitoring | Model retraining | Natural Language | Natural Language Processing | OCR | OpenAI API | Power Platform | Python | SQL | Semantic Kernel
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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