Principal Applied AI Scientist / Quant Engineer
Tasks
- Build automated data prompting and evaluation pipelines
- Create solution blueprints and reusable patterns
- Define AI roadmaps and infrastructure strategies
- Design develop and optimize GenAI applications
- Develop AI model monitoring frameworks
- Develop and scale AI platforms using LLM services
- Ensure GenAI governance and risk management
- Integrate AI into enterprise systems and cloud platforms
- Lead AI engineering for scalable AI products
- Perform complex AI challenge evaluation and resolution
Perks/Benefits
- Employee resource groups
- Flexible work
- Healthcare
- Mentoring coaching and learning programs
- Paid Holidays
- Paid parental leave
- Paid time off
Skills/Tech-stack
AI Automation | AI Model Monitoring | AI model | Agentic Frameworks | Artificial Intelligence | Cloud Integration | Data Analysis | Error Analysis | Evaluation-Driven Development | Explainable AI | Generative AI | Governance | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Model Tuning | Modular Design | Prompt engineering | Real Time | Real-time analytics | Solution architecture | Test-Driven | Test-Driven Development
Education
N/A
Roles
AI Scientist | Applied AI Scientist | Engineer | Principal | Principal Applied AI Scientist | Quant | Quant Engineer | Scientist
Regions
Countries
States
Cities
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