Contract, Senior AI Engineer at Nintex

About the role: 

You are comfortable working with technical complexity and building reusable AI components and systems. You pioneer best practices to boost quality and productivity. You can work with high-level technical ideas and ambiguity to deliver successful projects. You mentor team members on the technical front. You demonstrate a deep mastery of AI and a focus on improving systems and processes. You handle large technology teams and crucial product areas. 

Your contribution will be:

• You use the current AI toolset to design and write high complexity algorithms to solve novel problems with challenging levels of ambiguity. 
• You are called to advise on challenging performance and resource utilization issues touching on AI 
• You have regular meetings with Engineering and Product Management to project and define future AI requirements. 
• You build complex predictive models and use them to make observations and drive future strategic decision-making / forecast future events 
• You monitor developing AI technologies, assess their applicability to Nintex and suggest appropriate training and tools to management. 
• You actively seek-out, modify, and improve code outside of the existing architecture patterns and bring them in-line with the relevant Nintex and Product standards. 
• You triage and debug production issues correctly and independently. 
• You write automated unit and end-to-end tests to vet your code. 
• You attend and contribute to team ceremonies and meetings (daily scrum meetings, planning meetings, demos, and development retrospective meetings.) 
• You provide clear and actionable technical feedback to the team for pull requests and peer reviews. 
• You manage competing priorities, effectively putting users first. 
• You promote our culture through the Nintex tenets. 
• You receive uneventful code reviews for complex algorithms and are brought in to review special cases.

To be successful, we think you need:  

• 5-7+ years in the data/AI space
• Experience working across data modelling erc
• Experience with how to take AI solutions into production
• Strong understanding of engineering principles