Vice Precident AI Engineering
11 months ago
We are looking for a Vice President AI who will play a pivotal role to defining technology roadmap, lead research and development in AI and oversee th..
We are looking for a Vice President AI who will play a pivotal role to defining technology roadmap, lead research and development in AI and oversee the team. The position will lead our cutting-edge machine vision AI efforts, propelling us to the forefront of the industry.
Responsibilities:
Visionary Technology Leader:
- Chart the Course: Define and own the technology roadmap for machine vision AI, keeping us ahead of the curve with best practices and cutting-edge advancements.
- Unlock Innovation: Drive R&D initiatives, exploring new algorithms, models, and techniques, and transforming research into real-world solutions that revolutionize the way we do business.
Masterful Execution:
- Lead with Expertise: Manage all aspects of AI development, including project management, delivery, and resource allocation.
- Financial Acumen: Conduct or acquire cost analysis for development projects, ensuring budget-conscious execution and maximizing resources.
Strategic Collaboration:
- Align and Achieve: Partner with executive leadership to develop and execute organizational goals, providing expert guidance on projects, operations, and systems.
- Champion Progress: Identify, recommend, and implement new technologies and systems that optimize processes and drive informed decision-making.
Operational Excellence:
- Chart the Path: Establish, communicate, and enforce clear engineering and development policies, practices, standards, and security measures for consistent, efficient operations.
- Resourceful Leader: Manage the department's budget, allocate resources effectively, and negotiate cost-effective contracts with vendors.
- Stay Ahead of the Curve: Maintain deep knowledge of emerging technologies and trends, ensuring our technical expertise remains at the forefront of the industry.
Qualifications:
- Proven track record of success in leading and delivering complex AI and machine vision projects.
- Master's degree in Computer Science, Engineering, or related field, or equivalent industry experience.
- Strong leadership and communication skills, with the ability to collaborate effectively at all levels.
- Demonstrated expertise in machine vision, deep learning, and related AI technologies.
- Strategic thinking and business acumen, with a focus on driving innovation and ROI.
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