Senior AI Engineer

Summary

Join Nintex as an AI Engineer and contribute to building and deploying cutting-edge AI/ML solutions. You will design and implement complex algorithms, advise on performance, collaborate with engineering and product teams, and build predictive models. This role requires 5+ years of experience in data science and data engineering, strong Python proficiency, and experience with data pipelines and AI model deployment. Nintex offers a flexible work environment and a comprehensive benefits package including paid time off, wellness programs, parental leave, and various other perks.

Requirements

• 5+ years of experience in data science and data engineering roles
• Strong proficiency in Python and major libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, etc
• Proven experience in building and managing data pipelines using Docker, RabbitMQ, and SQLite
• Experience taking AI models into production
• Familiarity with SQL and database management
• Strong problem-solving skills and the ability to work both independently and collaboratively

Responsibilities

• Design and implement complex AI/ML algorithms to solve novel problems, with an emphasis on bringing these solutions to production
• Advise on performance and resource utilization issues related to AI/ML
• Regularly meet with Engineering and Product Management to project and define future AI requirements
• Build complex predictive models to make observations and drive future strategic decision-making
• Stay updated with developing AI technologies, assess their applicability to our company, and suggest appropriate training and tools to management
• Modify and improve code outside of the existing architecture patterns, aligning them with the relevant company and Product standards
• Triage and debug production issues independently
• Write automated unit and end-to-end tests to vet your code
• Provide clear and actionable technical feedback to the team for pull requests and peer reviews

Benefits

• 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