Machine Learning/AI Tech Lead

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 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. 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 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

Model Development & Intelligent Systems

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

AI Engineering & MLOps

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

Data & Platform Integration

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

Leadership & Mentorship

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

Cross‑Functional Collaboration

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

Governance, Risk & Responsible AI

Ensure AI solutions adhere to

data privacy, security, and regulatory requirements

Implement responsible AI practices, including:

Bias detection and mitigation

Model explainability

Transparency and auditability

Qualifications Experience

8-10 years 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

Technical Skills

Strong programming skills in

Python

Experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn)

Experience with:

Data pipelines (SQL, Spark)

APIs and microservices

Cloud 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 work

Experience implementing

automation and intelligent workflows

Familiarity with

LLMs and generative AI tools

is highly preferred

Leadership & Communication

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

People management experience a plus

Education

Degree in

Computer Science, Data Science, Engineering, or related field

Advanced degree preferred but not required

Key Success Metrics

Reduction in

manual effort and operational inefficiencies

through AI

Successful deployment of

AI‑driven features into production

Measurable improvements in

client outcomes and internal productivity

Adoption of AI capabilities across teams and workflows

Scalable, reliable, and high‑performing AI systems

The pay range for this role is: 140,000 - 160,000 CAD per year (Toronto, Canada)

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