Machine Learning/AI Tech Lead at PureFacts Financial Solutions – Toronto, Ontario

About PureFacts Financial Solutions

PureFacts is a revenue performance software company serving wealth management, asset management, and asset servicing firms. We help financial institutions protect, optimize, and grow revenue through a connected platform spanning pricing, billing, compensation, reporting, and transparency. By unifying fragmented data and workflows into a trusted revenue foundation, we help clients improve accuracy, strengthen governance, reduce manual effort, and unlock new growth opportunities.

At PureFacts, 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 PureFacts 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 PureFacts’ 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.

What you'll do

AI-First Strategy & Automation

Champion PureFacts’ AI-first approach, embedding AI across products, workflows, and internal operationsIdentify and prioritize opportunities to eliminate manual, repetitive, and low-value work through automationPartner with Product and Leadership to define AI initiatives that improve efficiency, scalability, and decision-makingDrive adoption of AI capabilities that enable teams and clients to focus on higher-value activities

Model Development & Intelligent Systems

Design, build, and deploy machine learning and AI-driven solutions in production environmentsDevelop capabilities such as:Predictive analytics and forecastingIntelligent automation of reporting and data workflowsNLP and generative AI for insights and client communicationAnomaly detection in financial and operational dataEnsure solutions deliver tangible efficiency gains and measurable business outcomes

AI Engineering & MLOps

Establish best practices for MLOps, model lifecycle management, and deployment pipelinesBuild scalable systems that support continuous learning, monitoring, and optimizationImplement automation in model deployment, testing, and performance trackingLeverage cloud platforms (Azure-based) to scale AI capabilities efficiently

Data & Platform Integration

Collaborate with data engineering teams to ensure high-quality, accessible data pipelinesIntegrate AI capabilities into PureFacts’ SaaS platform and client-facing productsEnable seamless delivery of AI-powered features through APIs and microservices architecture

Leadership & Mentorship

Lead and mentor a team of machine learning engineers and data scientistsFoster a culture of innovation, experimentation, and continuous improvementEncourage the use of AI tools and automation to improve team productivity and output

Cross-Functional Collaboration

Partner with Product, Engineering, and Client teams to translate AI capabilities into real-world valueHelp stakeholders identify opportunities to streamline processes and reduce manual effortCommunicate AI strategy and outcomes clearly to both technical and non-technical audiences

Governance, Risk & Responsible AI

Ensure AI solutions adhere to data privacy, security, and regulatory requirementsImplement responsible AI practices, including:Bias detection and mitigationModel explainabilityTransparency and auditability

Qualifications

Experience

· 8-10 yrs ML engineering experience, including MLOps (model registries, feature stores, retraining pipelines).

Experience in SaaS, fintech, or data-driven environmentsProven track record of delivering production AI solutions that drive efficiency or automationExperience leading or mentoring technical teams

Technical Skills

Strong programming skills in PythonExperience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Experience with:Data pipelines (SQL, Spark)APIs and microservicesCloud platforms (AWS, Azure, GCP)Familiarity with MLOps tools and automation frameworks

AI & Automation Mindset

Strong focus on using AI to drive efficiency and eliminate manual workExperience implementing automation and intelligent workflowsFamiliarity with LLMs and generative AI tools is highly preferred

Leadership & Communication

Ability to lead complex technical initiatives and influence stakeholdersStrong communication skills, with the ability to translate AI into business valueExperience working in agile, fast-paced environments

· People management experience a plus

Education

Degree in Computer Science, Data Science, Engineering, or related fieldAdvanced degree preferred but not required

Key Success Metrics

Reduction in manual effort and operational inefficiencies through AISuccessful deployment of AI-driven features into productionMeasurable improvements in client outcomes and internal productivityAdoption of AI capabilities across teams and workflowsScalable, reliable, and high-performing AI systemsThe pay range for this role is:140,000 - 160,000 CAD per year(Toronto, Canada)