Senior Director, AI Engineering
Tasks
- Align AI initiatives with business goals
- Build and mentor machine learning engineering teams
- Communicate strategy progress and outcomes to executives
- Define ML platform architecture MLOps and GenAI enablement
- Drive hiring onboarding career development
- Enable reusable AI services and APIs
- Ensure compliance with security privacy and ethical AI standards
- Ensure scalability performance and cost efficiency
- Establish engineering culture quality velocity accountability
- Establish model governance monitoring and lifecycle management
- Implement guardrails for safe responsible AI use
- Lead and scale MLE organization
- Lead development of GenAI capabilities
- Operationalize models into production systems
- Own end to end ML platform pipeline and service delivery
- Partner with data science and product to move from experimentation to deployment
- Partner with product data engineering and business to prioritize use cases
- Standardize tools frameworks and best practices
- Train deploy and monitor ML models
- Translate industry trends into enterprise capabilities
Perks/Benefits
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Retirement plan
Skills/Tech-stack
APIs | Cloud Native | Cloud Native Architecture | Data Engineering | Distributed Systems | Ethical AI | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Governance | Monitoring | Privacy | Prompt engineering | PyTorch | Retrieval-Augmented Generation | Security | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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