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 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 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

Technical Skills

Solid 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

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📌 Copy of Machine Learning/AI Tech Lead (Ontario)
🏢 PureFacts Financial Solutions
📍 Ontario