Global Head of AI and ML Field Development, Engineering and Data Science, SVP
Tasks
- Align teams to business domains and strategic AI initiatives
- Collaborate across AI platform engineering data platform engineering and data architecture
- Create feature engineering pipelines and data pipelines
- Deliver predictive analytics and decision insights
- Deploy machine learning models to production environments
- Develop AI and machine learning solutions aligned to business objectives
- Develop repeatable AI delivery playbooks and patterns
- Develop reusable model components and analytical assets
- Drive continuous improvement based on real world usage
- Enable effective use of enterprise AI platforms
- Establish model lifecycle management best practices
- Improve experimentation and evaluation processes
- Lead global AI and machine learning field deployment engineering and data science organization
- Scale model adoption across business workflows
- Serve as voice of AI practitioners into platform and data teams
- Standardize delivery approaches from experimentation to production
Perks/Benefits
Skills/Tech-stack
AI platforms | Data Pipelines | Data Science | Enterprise AI | Enterprise AI platforms | Experimentation | Feature Engineering | Generative AI | Lifecycle Management | Machine Learning | Model Deployment | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Productionization | Statistical modeling
Education
N/A
Regions
Countries
States
Cities
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