Infor

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. 

A Day in The Life Typically Includes:

• Design, develop, test, and deploy scalable ML models, including time series forecasting, anomaly detection, clustering, classification, regression, recommendation, and semantic search.
• Develop quality code in Python adhering to common software development processes such as unit and functional testing, version control, code reviews, CI/CD, and documentation.
• Build expertise to package and deploy ML engines and augmented intelligence solutions using Infor OS.
• Extract, process, cleanse, model, and conduct an in-depth evaluation of enterprise datasets to extract actionable insights that provide value to our customers.
• Design, execute, analyze, and interpret experiments and investigations.
• Navigate ambiguous or incomplete business problems and guide the process of formulating them into clear functional and technical requirements for improving enterprise outcomes.
• Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.

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.
• Experience in 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:

• Experience in system design, batch, and real-time architectures.
•  Experience working with machine learning technologies relevant to enterprise applications.