Copy of Machine Learning/AI Tech Lead
Listed on 2026-08-17
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations, Data Engineering
Copy of Machine Learning/AI Tech Lead
Pure Facts Financial Solutions Toronto, Ontario, Canada
About this positionAbout Pure Facts Financial Solutions
Pure Facts is the leader in the Revenue Performance Management category for wealth and asset management firms. The Pure Revenue™ Platform helps organizations maximize revenue potential by connecting pricing, billing, compensation, advisor behavior, and AI-powered intelligence within a single Revenue Book of Record. By transforming fragmented revenue processes into a coordinated growth system, firms gain greater visibility, stronger pricing discipline, improved revenue capture, and more effective advisor alignment.
The result is faster organic growth, improved profitability, and increased enterprise value. For more than 25 years, Pure Facts has helped leading financial institutions turn revenue from an operational process into a strategic advantage.
At Pure Facts, we are building an AI-native platform and company. We embed AI, intelligent automation, and agentic workflows across our products and operations to detect anomalies, surface insights, streamline repetitive work, and support faster, better decision-making. In a highly regulated industry, we believe AI must be practical, governed, and auditable—amplifying human expertise while helping our teams and clients focus on higher-value, strategic work.
About the role
As our Machine Learning/AI Tech Lead
, you will provide technical direction and oversight to a team of ML and AI engineers, and own overall ML/AI product vision, including platform and ops, for 3-5 concurrent client models. You will translate local models into robust enterprise grade products, set ML roadmap from Pricing Score through Revenue Assistant Agent. You will lead the design, development, and deployment of AI and machine learning solutions across the Pure Facts platform.
This role sits at the intersection of data science, engineering, and product
, driving the integration of AI into core products and internal processes.
You will play a key role in advancing Pure Facts’
AI-first strategy
, building scalable solutions that automate workflows, reduce operational friction, and enhance client outcomes
. This includes identifying opportunities to replace manual processes with intelligent automation and delivering AI capabilities that create measurable business impact.
Champion Pure Facts’
AI-first approach
, embedding AI across products, workflows, and internal operations. Identify and prioritize opportunities to eliminate manual, repetitive, and low-value work through automation. Partner with Product and Leadership to define AI initiatives that improve efficiency, scalability, and decision-making
. Drive adoption of AI capabilities that enable teams and clients to focus on higher-value activities
.
Design, build, and deploy machine learning and AI-driven solutions in production environments. Develop capabilities such as:
Predictive analytics and forecasting;
Intelligent automation of reporting and data workflows; NLP and generative AI for insights and client communication;
Anomaly detection in financial and operational data. Ensure solutions deliver tangible efficiency gains and measurable business outcomes
.
Establish best practices for MLOps, model lifecycle management, and deployment pipelines
. Build scalable systems that support continuous learning, monitoring, and optimization
. Implement automation in model deployment, testing, and performance tracking. Leverage cloud platforms (Azure-based) to scale AI capabilities efficiently.
Collaborate with data engineering teams to ensure high-quality, accessible data pipelines
. Integrate AI capabilities into Pure Facts’ SaaS platform and client-facing products
. Enable seamless delivery of AI-powered features through APIs and microservices architecture
.
Lead and mentor a team of machine learning engineers and data scientists
. Foster a culture of innovation, experimentation, and continuous improvement
. Encourage the use of AI tools and automation to…
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