IBM i and Microsoft systems modernization with AI and managed services
Fresche Solutions modernizes legacy IBM i and Microsoft environments for mid-market and enterprise customers. The tech stack—Python, PySpark, SQL, Databricks, Azure ML, and Power BI—sits alongside deep IBM i / DB2 / ILE expertise, revealing a dual operating model: AI-first data platforms for analytics and governance alongside traditional application transformation services. Hiring is skewed heavily toward data roles (7 of 14 open positions) and senior-level talent, signaling expansion of the analytics and modernization practice rather than support scaling.
Fresche Solutions is a Canadian IT modernization firm founded in 1976 that helps enterprises extend the life and capability of IBM i and Microsoft systems. The company operates across four service lines: modernization (ILE transformation, GUI/web rewrites), managed services (cloud and KTLO support), data analytics and AI (governance, BI, ML pipelines), and custom software development. They work with over 2,200 customer organizations globally. The operational mix reflects both legacy stewardship—support and maintenance teams—and forward-facing capability development in data engineering and application architecture.
Primary: Python, PySpark, SQL, pandas, scikit-learn, PyTorch, TensorFlow, Databricks, Azure Machine Learning, Power BI, SQL Server. Also: IBM i, DB2, Azure, Dynamics 365, REST APIs, Git, CI/CD.
Montréal, Quebec, Canada. The company was founded in 1976 and employs 201–500 people. Actively hiring in the United States and Canada.
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