Machine Learning/AI Tech Lead

PureFacts Financial Solutions•Toronto, ON

12d

About The Position

As the Machine Learning/AI Tech Lead, you will provide technical direction and oversight to a team of ML and AI engineers, owning the overall ML/AI product vision, including platform and operations, for 3-5 concurrent client models. This role involves translating local models into robust enterprise-grade products and setting the 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, sitting at the intersection of data science, engineering, and product to drive AI integration into core products and internal processes. You will be crucial 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.

Requirements

8-10 yrs ML engineering experience, including MLOps (model registries, feature stores, retraining pipelines)
Experience in SaaS, fintech, or data-driven environments
Proven track record of delivering production AI solutions that drive efficiency or automation
Experience leading or mentoring technical teams
Strong programming skills in Python
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with Data pipelines (SQL, Spark)
Experience with APIs and microservices
Experience with Cloud platforms (AWS, Azure, GCP)
Familiarity with MLOps tools and automation frameworks
Strong focus on using AI to drive efficiency and eliminate manual work
Experience implementing automation and intelligent workflows
Ability to lead complex technical initiatives and influence stakeholders
Strong communication skills, with the ability to translate AI into business value
Experience working in agile, fast-paced environments
Degree in Computer Science, Data Science, Engineering, or related field

Nice To Haves

Familiarity with LLMs and generative AI tools is highly preferred
People management experience a plus
Advanced degree preferred but not required

Responsibilities

Provide technical direction and oversight to a team of ML and AI engineers
Own overall ML/AI product vision, including platform and ops, for 3-5 concurrent client models
Translate local models into robust enterprise grade products
Set ML roadmap from Pricing Score through Revenue Assistant Agent
Lead the design, development, and deployment of AI and machine learning solutions across the PureFacts platform
Drive the integration of AI into core products and internal processes
Advance PureFacts’ AI-first strategy, building scalable solutions that automate workflows, reduce operational friction, and enhance client outcomes
Identify opportunities to replace manual processes with intelligent automation
Deliver AI capabilities that create measurable business impact
Champion PureFacts’ 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
Develop capabilities such as intelligent automation of reporting and data workflows
Develop capabilities such as NLP and generative AI for insights and client communication
Develop capabilities such as 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 PureFacts’ 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 improve team productivity and output
Partner with Product, Engineering, and Client teams to translate AI capabilities into real-world value
Help stakeholders identify opportunities to streamline processes and reduce manual effort
Communicate AI strategy and outcomes clearly to both technical and non-technical audiences
Ensure AI solutions adhere to data privacy, security, and regulatory requirements
Implement responsible AI practices, including bias detection and mitigation
Implement responsible AI practices, including model explainability
Implement responsible AI practices, including transparency and auditability