Sr. Director, Data Science - 11572
Tasks
- Build AI observability monitoring and feedback loops
- Define golden datasets data curation labeling and evaluation
- Enforce responsible AI practices fairness bias mitigation explainability compliance
- Establish and scale MLOps practices
- Integrate AI into production systems and user experiences
- Lead AI and ML model strategy design and delivery
- Lead mentor and grow data science and ML engineering team
- Own model performance define KPIs implement continuous evaluation
- Translate AI concepts into business impact for executive stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AI Observability | Amazon SageMaker | Bias Mitigation | Data Curation | Data Governance | Data Quality | Data labeling | Databricks | Deep learning | Explainability | Fine Tuning | Generative AI | Google Vertex | Google Vertex AI | Kubeflow | Kubernetes | Language Models | Large Language Models | Learning operations | MLflow | Machine Learning | Machine Learning Operations | Model Evaluation | Model Performance Monitoring | Model performance | Performance Monitoring | Prompt engineering | PyTorch | Python | Statistical modeling | TensorFlow | Vertex AI
Education
Regions
Countries
States
Cities
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