Shape the future of parts intelligence with MaintainX as a Senior Applied Scientist. This role focuses on inventory optimization and AI model development to enhance operation efficiency.
We're seeking a seasoned Senior Applied Scientist to develop intelligent systems for the Parts Agent feature at MaintainX. You will work closely with teams to create decision models for inventory management, focusing on reorder predictions, stock balancing, and demand forecasting. Your expertise in Python and optimization will be pivotal for delivering tools that empower frontline operations.
Key Responsibilities:
- Own optimization and ML models for Parts Agent capabilities
- Design vendor lead time and safety stock models
- Build APIs to enhance GenAI agent workflows
- Collaborate with product teams for model applicability
- Gather and implement user feedback iteratively
Requirements:
- 5+ years in software engineering or data science
- Strong background in optimization paradigms
- Proficient in Python service engineering
- Experience with demand forecasting models
- Familiarity with GenAI tooling
Drive impactful inventory solutions and contribute to MaintainX's mission of operational excellence.
Senior Applied Scientist in Optimization in Ottawa employer: MaintainX
At MaintainX, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior AI Platform Engineer, you will have access to cutting-edge technology and the opportunity for professional growth in a dynamic environment located in a vibrant tech hub. We offer competitive benefits, a commitment to work-life balance, and a supportive team that values your contributions and encourages continuous learning.
