Wiser Solutions is hiring a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. In this senior technical leadership role, you'll combine deep expertise in ML, data science, and production engineering with business acumen to translate capabilities into customer value. You'll be the technical authority for AI at Wiser, defining architectural direction and delivering production systems.
What You'll Do
- 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 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.
- 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 for AI solutions.
- Bridge classical data science approaches with modern generative AI techniques.
- Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability.
- Partner with product management to translate business requirements into technical approaches.
- Mentor and elevate the AI/data science team (3-5 engineers).
- 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.
- Help build an engineering culture where AI augmentation is the default.
What We're Looking For
- 15+ years of experience in data science, machine learning, or ML engineering, with 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: 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.
- 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.
Nice to Have
- 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.
Technical Stack
- AWS
- Python
- SQL
- LLM orchestration frameworks
- Vector databases
Team & Environment
You'll provide technical leadership for an AI/data science team of 3-5 engineers. This is a technical leadership role with no supervisory responsibility.
Benefits & Compensation
- Base annual pay: CAD$215,000 to $230,000
Work Mode
This role is global and open to candidates located in Canada.
Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind.
