Principal Machine Learning Engineer

Company Overview Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We’re on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally.

Job Description LOCATION:

This position can be based anywhere in Canada, with a preference for someone in the eastern or central time zone who can work with our teams in the US, Europe and India.

About The Role Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. This is a senior technical leadership role for someone who combines deep expertise in machine learning, data science, and production engineering with the business acumen to translate complex capabilities into customer value.

As the technical authority for AI at Wiser, you will define architectural direction, represent our capabilities to customers and partners, and deliver production systems that drive measurable business outcomes. This role requires fluid operation between strategic planning and hands‑on implementation, the ability to present to executives, and the skill to debug production pipelines within the same week.

We’re building an AI‑native engineering culture at Wiser, weaving AI tools and techniques into how we work, not just what we build. We need an engineer who not only delivers AI products but also models AI‑augmented ways of working and helps the broader engineering organization adopt them.

What You Will Do Strategic Leadership

Define and evolve Wiser’s AI and data science technical strategy in partnership with product and business leadership

Represent Wiser’s AI capabilities to customers, partners, and advisors—articulating our approach, roadmap, and differentiation

Identify high‑impact opportunities where AI can solve customer problems or create competitive advantage

Establish technical standards, patterns, and best practices that influence engineering decisions across the organization

Technical Execution

Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models

Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results

Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques

Own technical quality for AI systems end‑to‑end: from data pipelines through model deployment to production observability

Cross‑Functional Impact

Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs

Mentor and elevate the AI/data science team (3‑5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer

Collaborate across engineering teams to integrate AI capabilities into Wiser’s broader platform architecture

Drive build‑vs‑buy decisions and vendor evaluations for AI infrastructure and tooling

Champion AI‑native development practices across Wiser engineering—demonstrating how AI tools accelerate development, improve code quality, and change what’s possible

Help build an engineering culture where AI augmentation is the default, not the exception

Qualifications

15+ years of experience in data science, machine learning, or ML engineering, with demonstrated progression into technical leadership

Deep expertise in statistical methods, experimental design, and classical ML (not just LLM integration)

Proven ability to architect and deliver production ML/AI systems at scale on cloud platforms (AWS strongly preferred)

Strong software engineering fundamentals: you write production‑quality code, not just notebooks

Track record of organization‑wide technical influence—setting standards, driving architectural decisions, mentoring engineers

Experience communicating technical strategy and capabilities to non‑technical stakeholders, including customers and executives

Demonstrated ability to operate autonomously, identify high‑impact problems, and drive initiatives without close direction

Active, daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot) and a demonstrated belief that AI fundamentally changes how software gets built

Technical Depth Expected

NLP and text analytics: embeddings, semantic similarity, classification, entity extraction, and information retrieval

LLM integration patterns: prompt engineering, RAG architectures, agent frameworks, evaluation methods

Data engineering: pipeline design, data quality, feature stores, and working with large‑scale datasets

MLOps: model deployment, monitoring, A/B testing infrastructure, and production observability

Python ecosystem mastery; SQL fluency; comfort with distributed systems concepts

Preferred

Experience with transformer architectures, fine‑tuning, or training custom models

Background in retail, e‑commerce, or product data domains

Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases

Track record of introducing AI‑augmented workflows to teams or organizations

Opinions (and evidence) on how AI changes engineering practices, team structures, or development processes

What Success Looks Like First 90 Days Deep understanding of Wiser’s data assets, current AI capabilities, and customer use cases. Identified 2‑3 high‑impact technical opportunities. Established credibility with the team through hands‑on contribution and technical guidance.

First 6 Months Delivered at least one significant AI capability to production with measurable customer impact. Documented and socialized architectural standards for AI development. Shaped our AI roadmap based on customer needs and technical opportunity.

Supervisory Responsibility:

None

Other Duties This position may require being on call rotation to address critical production application issues outside of normal working hours.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO STATEMENT Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.

Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be CAD$215,000 to $230,000, at the time of this posting.

Performance‑based discretionary bonuses and variable pay plans are available for some positions.

If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469‑4737.

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