Applied AI Engineer II
Tasks
- Build AI-driven solutions
- Build prototypes and support deployment
- Design and develop generative AI solutions
- Develop and evaluate machine learning models
- Develop prompts and workflows
- Ensure responsible AI practices
- Fine-tune foundation models
- Identify data gaps and measure impact
- Monitor model behavior and performance
- Prepare and analyze data
- Research and implement machine learning techniques
- Share insights and document experiments
- Translate research into practical solutions
- Translate research into production
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architectures | C# | CI/CD | Data Analysis | Deep learning | Generative AI | Langchain | Language Processing | ML frameworks | MLOps | Machine Learning | Model Evaluation | Monitoring | Multi-Agent | Multi-agent architectures | Natural Language | Natural Language Processing | Prompt engineering | PromptFlow | Python | Retraining Pipelines
Education
Roles
AI Engineer | AI Scientist | Applied AI Engineer | Applied AI Scientist | Engineer | Scientist
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