Chief Engineer – Artificial Intelligence (AI) Applications
Tasks
- Apply AI for continuous improvement
- Assess AI use cases and measures of success
- Assess and manage technical risks
- Build distributed ML DL pipelines
- Define AI enabled solutions
- Develop AI technology roadmaps
- Develop and present customer AI solutions
- Ensure cyber resilient system integration
- Lead AI enabled technical strategy
- Lead ML DL framework selection
- Lead distributed multidisciplinary teams
- Lead technical proposal and white paper development
- Manage large datasets
- Oversee AI model validation
- Plan and oversee AI related IRAD activities
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Bash | Data Visualization | Deep learning | Distributed Version Control | Docker | Git | GitLab | Kubernetes | Linux | Machine Learning | NLP | PyTorch | Python | TensorFlow | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Chief | Chief Engineer | Engineer
Regions
Countries
States
Cities
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