Director of AI/ML (P-161)
Tasks
- Communicate AI strategy risks and outcomes to executives
- Define enterprise AI and intelligent automation strategy
- Design scalable secure governed AI architectures
- Drive adoption of Databricks MLflow and model serving
- Establish KPIs and performance metrics
- Evaluate emerging AI technologies and frameworks
- Implement AI governance and model lifecycle management
- Implement conversational AI solutions
- Implement machine learning generative AI and multi agent orchestration
- Integrate AI and automation with enterprise applications
- Lead and mentor AI and automation engineering teams
- Operationalize AI capabilities with data engineering and business teams
- Oversee AI powered automation initiatives
Perks/Benefits
Skills/Tech-stack
AI Governance | AI architecture | Agent systems | CRM | Conversational AI | Databricks | ERP | Enterprise Integration | Generative AI | Intelligent Automation | Lifecycle Management | MLflow | Machine Learning | Microsoft Copilot | Microsoft Power | Microsoft Power Automate | Model Lifecycle | Model Lifecycle Management | Model Serving | Multi-Agent | Multi-Agent Systems | Power Automate | Process Automation | Robotic Process | Robotic Process Automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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