Director of AI Engineering
Tasks
- Assess bias and apply guardrails
- Collaborate with data engineering and platform teams
- Create and use embeddings
- Define problems and plan model integration
- Deliver AI use cases end-to-end
- Deploy AI models to production
- Develop foundation model capabilities
- Embed Responsible AI practices
- Ensure data readiness for training and inference
- Evaluate and experiment models
- Fine tune and optimize transformer based models
- Implement MLOps for training evaluation and inference
- Implement prompting strategies
- Lead AI engineering team
- Optimize model performance
- Provide technical guidance and coaching
- Track delivery progress manage risks
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Bias Assessment | Embeddings | Fine Tuning | Generative AI | Governance | MLOps | Machine Learning | Model Evaluation | Production Deployment | Prompt engineering | PyTorch | Python | Responsible AI | Security | TensorFlow | Transformers
Education
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