Senior AI Engineer

About Nintex:  

At Nintex, we are transforming the way people work, everywhere.   

As the global standard for process intelligence and automation, we’re trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build.  

We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our people’s curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go.  

Working in engineering:  

Working at Nintex as an engineer means building more than just software; it’s about making a tangible impact with every line of code. Our engineers are process experts, developing the industry’s most complete process and automation platform to transform the way people work. If you’re interested, curious and want to learn and do more, the sky is the limit here. We take a solutions-oriented and collaborative approach, constantly innovating our business and products. 

About the role: 

You are comfortable working with technical complexity and building reusable AI/ML 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/ML 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/ML 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/ML. 
• 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/ML 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:  

• Hands-on experience with LLMs, transformers, and NLP frameworks
• Experience with TensorFlow, PyTorch, or similar for training AI models
• Strong proficiency in Python and major libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, etc
• Expertise in cloud environments like AWS, Azure, or Google Cloud for deploying AI systems
• Experience with CI/CD pipelines, model versioning, and deployment tools such as MLflow or Kubernetes 
• Proven experience in building and managing data pipelines using Docker, RabbitMQ, and SQLite. 
• Familiarity with SQL and database management. 
• Strong problem-solving skills and the ability to work both independently and collaboratively. 

What’s in it for you? 

Our people work in the way that best suits them and their teams – whether at home, in an office, or another place that sparks creativity, focus, and collaboration. Our work environment is such that our people can successfully deliver their work while adequately supporting their lifestyle and preferences. 

While our offerings differ from country to country, we offer our entire global workforce an array of exciting perks and benefits, including 

• Global Gratitude and Recharge Days
• Flexible, paid time off policy
• Employee wellness programs and counseling resources
• Meaningful peer recognition and awards
• Paid parental leave
• Invention/patenting assistance
• Community impact, paid volunteer time, and opportunities
• Intercultural learning and celebration
• Multiple tools through which to learn and grow, and an incredible global community 

View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf.  

Equity Statement: Preference will be given to People Living with Disability who are members of the designated groups in line with the Employment Equity Plan and Targets of the Company.