基本信息

国家
カナダ
Ontario
城市
リモートロケーション
职位编号
42325
部门
Development
Experience Level
MID_SENIOR_LEVEL
Employment Status
FULL_TIME
Workplace Type
Remote

描述和要求

The Infor Decision Analytics and Science (IDEAS) team shapes Infor’s AI/ML strategy by driving development across industry-specific Augmented Intelligence solutions. These solutions, spanning Asset, Forecast, Customer, Pricing, People, Inventory, and Operational Intelligence domains, empower enterprise customers with rapid and measurable results. Our mission is to advance purpose-built Machine Learning (ML) and Optimization engines. To support this mission, IDEAS seeks a Principal Scientist with deep expertise in applied ML and industry experience to lead the charge in delivering robust, scalable, and user-centric algorithmic solutions. In this pivotal role, your contributions will shape highly automated, explainable, and reusable ML solutions that can be rapidly deployed and managed at a scale for enterprise needs.

A Day in The Life Typically Includes:
  • Define the vision, roadmap, and priorities for our ML Engines to align with business objectives. 
  • Translate complex, ambiguous business challenges into clear, actionable functional and technical requirements for enterprise applications. 
  • Design, develop, test, and deploy scalable ML models, including time series forecasting, anomaly detection, clustering, classification, regression, recommendation, and semantic search. 
  • Develop high-quality Python code with a focus on maintainability, including unit and functional testing, version control, code reviews, and CI/CD. 
  • Build expertise in deploying ML solutions using Infor OS and Infor AI, ensuring smooth integration and user accessibility. 
  • Process and evaluate complex enterprise datasets to generate actionable insights that add value to our customers. 
  • Present technical concepts and insights to non-technical stakeholders in an accessible manner, using reports, dashboards, and presentations. 
Basic Qualifications:   
  • Experience in developing and implementing advanced ML models in real-world settings. 
  • Development experience in Python, PySpark, Neo4j, SQL, and scientific libraries for statistical analysis and ML. 
  • Experience in explainable AI (XAI), AutoML, GraphML and MLOps. 
  • Data modeling and handling large datasets, with experience in data visualization tools such as Tableau, Power BI, or similar. 
  • Experience using JIRA for task management and collaboration.
Preferred Qualifications:  
  • Advanced degree (PhD or Master’s) in Statistics, Mathematics, Physics, Computer Science, Operations Research, or a related quantitative field. 
  • Experience with system design and both batch and real-time data architectures. 
  • Infor or other ERP systems and their applications across different industries. 
  • Learn and apply new ML techniques relevant to enterprise needs.
Remote Canada (Toronto, Ontario)


关于Infor

Infor是面向特定行业市场的企业提供商业云软件产品的全球领导者。Infor在云中构建完整的行业套件,并有效地部署将用户体验放在首位的技术,利用数据科学,并轻松集成到现有系统中。全球超过60,000家组织依靠Infor来帮助克服市场中断并实现全业务范围的数字化转型。 
更多信息请访问www.infor.com 

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future.

We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

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