Manager of Artificial Intelligence

Location: Dallas, TX
Job Type: Data Science

IQ Workforce is a leading recruiting firm for the engineering, analytics, and data science communities.

Our client, Yum! Brands, is a global restaurant company, which engages in the development and operation of some of the most recognizable brands in the world. They have over 30,000 employees and operate over 50,000 restaurants in 150 countries and territories.

Yum! is in the early stages of building out a new center of excellence (COE) of Innovation for Artificial Intelligence (AI), Machine Learning (ML) and Computer Vision (CV) technologies to provide industry-leading customer and team member experience through better order accuracy and faster speed of service. One of the immediate hiring needs is a Manager of Artificial Intelligence. This experienced, detail-oriented individual will play a key role in their goal to step-change the QSR industry using current and future technologies. This individual will work with a variety of their vendor partners from startups to global players, in their digital lab and agile environment, and with cross-functional teams across their brands and markets globally to solve exciting business challenges and identify potential opportunities.

Responsibilities
This individual will work in a lab setting and have deep, hands-on experience with a variety of AI & CV systems, and techniques including object detection, action recognition, segmentation, tracking, retrieving depth maps/3D reconstruction

Partner with our existing and new vendors to evaluate assist in building prototype to assess their capability in our digital lab and complete technical feasibility study

Evaluate state-of-the-art models, algorithms by prototyping/testing in a lab setting, studying feasibility and efficiency, and perform technical performance benchmarking, and analyze to support engineering decisions

Propose and implement creative, efficient solutions, and promote demonstrable technology using prototypes, and take them to in-store pilots by integrating with systems, and collaborating with Yum teams on technology roadmap

Partner with vendors to evaluate, analyze and optimize hardware, software and related processes to build scalable models

Collaborate with other innovation teams to ideate, evaluate the use of software and AI to support their priorities including Robotics, Automation, IoT & Connected Kitchen

Triage, troubleshoot, and resolve issues found in systems and integration, and work with relevant teams in addressing them

Lead or Assist in the installation and running of prototype demonstrations

Write and review technical documents including technical requirements, design documents and data models

Ability and willingness to learn new technologies and assess their capabilities and maturity level in addressing our unique needs

Keep up with technology & trends by attending conferences, reading, and reaching out

Passions
Design: Building great consumer and team members experiences
Innovation: Seeing the world differently and generating solution
Contribution: Building something that differentiates our brands
Learning: Willingness to learn new technologies
Entrepreneurial: See challenges and identify opportunities for improvement
Team Work: Reach out and Collaborate to build functional and technical know-how from our brands and markets

Degree
M.S. degree from an accredited university and specialization in Artificial Intelligence, Machine Learning and/or Computer Vision.
Ph.D – Preferred

Experience
2+ years hands-on experience in AI and Computer Vision, and ability to build and troubleshoot issues in Cloud Development, Deployment & Administration
Experience in machine learning algorithms for vision problems, including deep learning
Experience in real-time video analytics pipeline, and knowledge of internal hardware, 3D camera designs, design logic, and camera logic
Familiarity, hands-on experience in Software systems architecture, Integration, Optimization and 3rd party cloud AI services including AWS, Azure and GCP
Experience in Conversational AI (Text and Voice) – Preferred