Senior Director AI ML Engineering
Tasks
- Apply model governance fairness observability and risk mitigation
- Define AI ML engineering vision and strategy
- Drive adoption of machine learning NLP deep learning computer vision generative AI LLMs
- Ensure scalability maintainability explainability and regulatory readiness
- Identify AI ML adoption opportunities in healthcare
- Lead AI ML engineering portfolio delivery
- Lead executive solution presentations workshops and QBRs
- Oversee design development and deployment of production AI ML solutions
- Partner with business leaders to scale AI products
- Provide executive oversight for AI programs
- Serve as executive sponsor and advisor for clients
- Translate client priorities into AI solution roadmaps
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Flexible work arrangements
- Inclusion-driven culture
Skills/Tech-stack
Amazon Web Services | Apache Spark | Artificial Intelligence | Azure | Cloud Computing | Cloud platform | Deep learning | Google Cloud | Google Cloud Platform | Language Processing | MLOps | Machine Learning | Model Governance | Natural Language | Natural Language Processing | Predictive Analytics | PyTorch | Python | SQL | Scikit-learn | Statistical modeling | TensorFlow | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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