Senior Lead Applied AI Scientist
Tasks
- Create evaluation frameworks and improve quality reliability safety performance and cost
- Define success metrics and validate value
- Deliver reusable evaluation assets and technical standards
- Deploy production AI solutions using MLOps and LLMOps
- Design build optimize AI solutions
- Develop machine learning and generative AI systems
- Implement retrieval predictive modeling and agentic architectures
- Monitor models in production and ensure responsible AI
- Prototype evaluate and scale AI systems
- Provide technical leadership mentorship and guidance
- Translate opportunities into AI powered solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic Architectures | Cloud AI | Deep learning | Experimentation | Generative AI | Hugging Face | LLMOps | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Predictive Modeling | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Statistics | TensorFlow
Education
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