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Vice President Of Artificial Intelligence Engineering
Company | CognitivEdge.ai |
Address | Austin, TX, United States |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-05-30 |
Posted at | 1 year ago |
About The Role (Starts with equity-based)
As a VP of engineering, Data, Artificial Intelligence, and Analytics, you will be a key player in shaping and implementing our Data, AI, and Analytics strategy. From leading the Enterprise AI Lab, you will create Enterprise AI/ML platforms and apps for various industry verticals. Handle a team of AI engineering, Data, and Analytics team, You will closely collaborate with our product lines, customers, and academia on AI/ML-based product innovation and work with our product management on new business opportunities. As an AI/ML evangelist, you will promote awareness and adoption of the technology and support our AI talent programs.
What You Will Do
- Lead, manage, and grow a multi-disciplinary set of data, AI, and Analytics teams
- Deliver production-grade Enterprise AI platforms and apps, someone who built product ground 0 to 1 would be ideal for this role.
- Implement a purpose-driven culture of respect, collaboration, inclusion, and empowerment
- Drive Data, AI/M, and Analytics based innovation in close collaboration in the team and organization
- Foster AI/ML-based value-add across a portfolio of customers as a key technical advisor and ambassador
What You Need
- Experience working in an early-stage AI startup would be ideal
- Demonstrated experience in applied AI/ML in two areas: Computer Vision/Perception, Generative AI, Predictive Analysis, Data Analytics, Affective Computing, Cybersecurity, etc.
- 5 years of experience leading and growing high-performing engineering teams and managing managers
- 12 years of technical industry experience including 5-6 years of applied Data, AI/ML, and Analytics in product development
- Bachelor’s or Master’s, Computer Science, or related discipline.
Preferred Qualifications
- A Master’s degree in Computer Science Electronics, or Machine learning is highly preferred
- Practical experience in software engineering and AI/ML application
- Relevant experience in implementing and running production-level Cloud infrastructure
- Project and product management experience
What Makes You Eligible
- Be willing to contribute to the strategy, vision and believes this is their own company
- Successfully complete a background investigation and drug screen as a condition of employment
- Be willing to work fast-paced start-up environment
- Be willing to be contributed to building MVP
What We Offer
- Flexible work environment, allowing for full-time remote work
- In start-up culture, we provide opportunities to grow next entrepreneurs
- Start with equity and will be converted to equity + Salary, and other benefits
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