Director of AI Engineering
Tasks
- Build AI driven products and services
- Collaborate with DevOps on production deployment
- Collaborate with stakeholders to measure AI impact
- Develop and deploy AI solutions
- Ensure AI security and data protection
- Establish MLOps practices and guardrails
- Guide AI initiatives aligned with business goals
- Implement AI governance and ethical frameworks
- Integrate AI models with enterprise cloud platforms
- Lead AI research and engineering
- Monitor model performance and retrain models
- Prototype and validate AI MVPs
Perks/Benefits
- N/A
Skills/Tech-stack
AI Fairness | AWS | Apache Kafka | Apache Spark | Automated retraining | Azure Data | Azure Data Factory | Azure Synapse | CCPA | Data Factory | Data Lakes | Data Privacy | Databricks | Deep learning | GDPR | Generative AI | Google Cloud | Google Gemini | Hugging Face | Kubernetes | Language Processing | Llama | MLOps | Machine Learning | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | OpenAI GPT | Predictive Analytics | PyTorch | Python | Reinforcement Learning | SQL | Scikit-learn | Snowflake | TensorFlow
Education
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