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About the Role

The AI Platform & ML Engineering role focuses on platform patterns, MLOps practices, model lifecycle, deployment standards, monitoring, evaluation, and governance integration to move AI and machine learning solutions beyond experimentation. This is a hands-on engineering role to build the foundation for repeatable, governed, observable, and production-ready AI solutions.

Responsibilities

• Build reusable AI and ML engineering patterns to help teams move from proof-of-value to production safely and consistently.
• Establish practical MLOps and LLMOps practices using Databricks, AWS, MLflow, and related platform capabilities.
• Create standards and templates for model deployment, serving, monitoring, evaluation, and production release.
• Support API integration and deployment patterns for ML, GenAI, and agentic solutions.
• Partner with Data Engineering & Data Management to define feature engineering data product and reusable pipeline patterns for AI/ML use cases.
• Help define how models, prompts, agents, data products, and AI outputs are versioned, tracked, monitored, and governed.
• Partner with Data & AI Governance to embed responsible AI, lineage, access control, auditability, and risk controls into production workflows.
• Help monitor AI cost, performance, reliability, usage, and operational risk, while contributing to reusable standards and community learning.

Requirements

• Bachelor's or Master's Degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, or related technical field.
• Equivalent hands-on experience building data, AI, machine learning, platform, or cloud engineering solutions may be considered in place of formal education.
• 10+ years of overall experience.
• 4+ years of experience building, deploying, or supporting machine learning, AI, or data-driven solutions in production environments.
• 5 to 7 years working in the data space.
• Databricks certification related to Machine Learning, Data Engineering, Generative AI, or platform administration.
• AWS certifications related to cloud architecture, machine learning, AI, DevOps, data engineering, or security.
• Microsoft Azure certifications related to AI, data, cloud engineering, DevOps, or security.
• Other relevant certifications in MLOps, LLMOps, cloud platforms, DevOps, security, architecture, or enterprise AI platforms.
• Strong Python development skills, especially for ML engineering, automation, APIs, testing, and production implementation.
• Hands-on experience with cloud-based AI/ML platforms; experience with AWS an asset, Databricks, Azure, MLflow, or Lakehouse platforms.
• Strong understanding of MLOps, CI/CD/CT, model deployment, model serving, and production release practices for AI and ML solutions.
• Experience with model evaluation, validation, monitoring, and observability, including model performance, drift, reliability, latency, usage, and cost.
• Familiarity with LLMOps practices that support GenAI and agentic solutions in production, including prompt/model versioning, evaluation pipelines, controlled releases, and production support patterns.
• Experience developing reusable AI/ML platform patterns, including deployment templates, secure serving patterns, feature engineering standards, and integration frameworks.
• Understanding of enterprise security, governance, and control requirements for production AI and ML workloads.
• Strong consultative and communication skills, with the ability to explain technical trade-offs to data, technology, risk, governance, and business stakeholders.
• Fluent communication skills in English are required.
• Bilingual skills in French are an asset.

Skills

• Python
• MLOps
• LLMOps
• Databricks
• AWS
• Azure
• MLflow
• Lakehouse platforms
• CI/CD/CT
• Model deployment
• Model serving
• Production release practices
• Model evaluation
• Model validation
• Monitoring
• Observability
• GenAI
• Agentic solutions
• Prompt versioning
• Model versioning
• Enterprise security
• Governance
• Control requirements

Location

• Toronto
• Vancouver
• Montreal

Work Type

• Full-time

Experience Level

• 10+ years of overall experience
• 4+ years of experience building, deploying, or supporting machine learning, AI, or data-driven solutions in production environments
• 5 to 7 years working in the data space

Education Level

• Bachelor's or Master's Degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, or related technical field
• Equivalent hands-on experience building data, AI, machine learning, platform, or cloud engineering solutions may be considered in place of formal education

Salary/Compensations

• $135,000 - $150,000 CAD annually

Benefits

• Competitive compensation package
• Excellent health, dental and insurance benefits
• Generous vacation time
• Fitness benefit
• Parental leave top-up options
• Matching contributions to our retirement program
• Continuous improvement through learning & development
• Education assistance program
• Regular social events

About the Company

• Aviso Wealth is a leading wealth management and investment services provider for the Canadian financial industry.
• Manages approximately $145 billion in total assets under administration and management.
• Has over 1,000 employees.
• Building a comprehensive, technology-enabled, client-centric wealth services ecosystem.
• Trusted partner for nearly all credit unions across Canada, portfolio managers, investment dealers, insurance and trust companies, and introducing brokers.
• Provides solutions that give partners a competitive edge.
• Investment dealer and mutual fund dealer and insurance services support thousands of investment advisors.
• NEI Investments specializes in investing responsibly.
• Qtrade Direct Investing® empowers self-directed investors.
• Qtrade Guided Portfolios® serves investors who prefer a hands-off approach.
• Aviso Correspondent Partners provides custodial and carrying broker services.
• Backed by the collective strength of credit union Centrals, Co-operators/CUMIS, and Desjardins.
• A career with Aviso means being part of talented, energetic professionals who live their values.
• Belonging to an organization dedicated to success and career development.

Equal Opportunity

• Aviso welcomes and encourages applications from all qualified individuals including persons with disabilities.
• Will work with applicants to meet their needs in all stages of the hiring process if accommodation is required.