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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
Job Description

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