AI Data Scientist
Tasks
- Advise stakeholders on solution behavior and root cause
- Build and deploy models using enterprise machine learning platforms
- Collaborate with engineering teams to clarify issues and ensure delivery
- Conduct feasibility and scope assessments for generative AI use cases
- Develop machine learning models for automation and insights
- Document model assumptions and limitations
- Ensure requirements are feasible before AI engineering engagement
- Evaluate model behavior and implement solution improvements
- Identify and prioritize generative AI opportunities
- Research and design generative AI solutions
- Support UAT for generative AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Governance | Agentic assistants | Agile | Azure AI Foundry | Azure Copilot | Azure Copilot Studio | Cloud Computing | Copilot Studio | Data readiness | Enterprise AI | Enterprise AI governance | Generative AI | Language Models | Language Processing | Large Language Models | Machine Learning | Microsoft Azure | Microsoft Azure AI | Microsoft Azure AI Foundry | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | UAT
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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