AI Engineer

Valtech; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Join a leading company as an AI Engineer, where you will leverage your expertise in AI/ML and cloud technologies to drive innovative solutions. Work on building intelligent systems that enhance digital operations and deliver impactful insights across various platforms.

Benefits

Flexible work schedule

Career advancement opportunities

Learning and development programs

Qualifications

• 5+ years of experience building ML models in production environments.
• Proficiency with cloud-native ML tooling across GCP, Azure, or AWS.
• Experience creating AI-integrated dashboards using Power BI, Tableau, or Looker.

Responsibilities

• Design, build, and scale AI/ML solutions using cloud-native tools.
• Collaborate with data analysts and platform engineers to operationalize models.
• Establish performance monitoring and alerting mechanisms for models.

Skills

Machine Learning

Data Engineering

Python

SQL

Tools

Databricks

GCP

AWS

Azure

Power BI

Tableau

Looker

Job description

AI Engineer

The Opportunity

At Valtech, we've got opportunities to offer you - for learning; for growing; for making a world-changing impact; and for being a real agent of change. Our global workforce exists to unlock a better way to experience the world, and that all starts with our workplace.

Technology has remade the way we live, work, and connect. Every day new products, services, and features are raising our expectations in every aspect of our lives. It's become common for whole new categories and consumer behaviors to emerge and disrupt legacy businesses. And as it becomes easier to digitize, launch, and evolve, the rush to leap ahead is quickly becoming a race to parity. Now that technology has once again leveled the playing field, we believe the next frontier and greater value lives in the experience. And that means the world needs a new kind of company to unlock its value.

Before we continue to dive into the requirements for the role let’s talk about Why you should join Valtech?

Flexibility: We trust in the expertise, skills, and actions of our colleagues. That’s why we provide a flexible work schedule that supports work/life balance.

Career Advancement: We offer a career, not just a job. We invest in the personal and professional growth of every employee because we believe growth leads to both business impact and personal fulfillment.

Learning and Development: We foster a culture that encourages and promotes professional growth and development, with continuous learning through our in house LMS (Ask us about the Academy)

Beyond a competitive full compensation package, we pride ourselves on offering you flexibility, career advancement & learning and development. Our benefits are country-specific to cater to the needs of our people so your talent partner will be able to run through the benefits for your location on the screening call.

Back to the role:

The Role

Ideal candidates will have a strong foundation in AI/ML, cloud platforms, and data engineering. They will use these skills not as buzzwords but as tools for building intelligent systems that support real-world digital operations. This role offers the opportunity to work at the intersection of cloud technologies, AI, and commerce enablement, driving value through scalable insights and automation.

We are seeking an AI Engineer to join our growing data and intelligence team. If you enjoy solving complex business problems using advanced AI/ML tools and cloud-native solutions—while working with diverse data from digital commerce, marketing, and content platforms—read on!

This role will focus on activating an AI-driven commerce transformation, delivering scalable intelligence across digital marketing, eCommerce, and content performance systems.

Role Responsibilities

• Design, build, and scale AI/ML solutions using cloud-native tools across GCP, Azure, and AWS to support use cases like anomaly detection, content classification, predictive KPIs, and intelligent workflow automation.
• Leverage Databricks to develop unified data pipelines, orchestrate model training/inference workflows, and support real-time decisioning across multiple systems.
• Collaborate with data analysts, platform engineers, and business stakeholders to operationalize models that drive measurable impact (e.g., SLA improvements, user behavior insights, conversion predictions).
• Build AI-powered dashboards and explainable insights using Power BI, Tableau, or Looker—enabling business users to make informed decisions backed by models.
• Apply advanced techniques (e.g., NLP, time series forecasting, clustering) to optimize platform stability, personalization, and operational readiness.
• Integrate AI solutions with platform telemetry (e.g., observability logs, ticket metadata, content usage stats) to surface proactive insights and reduce downstream escalations.
• Champion data integrity, reusability, and responsible AI practices across the lifecycle of development, deployment, and monitoring.
• Model Monitoring & Feedback Loops: Establish performance monitoring, alerting, and drift detection mechanisms to ensure model integrity and business alignment post-deployment.
• LLM/GenAI Enablement: Support conversational analytics through GenAI/LLM interfaces for natural-language querying of marketing and commerce data.
• Real-Time Decisioning: Architect real-time inferencing capabilities using event-driven tools (e.g., Pub/Sub, Kafka) and integrate with commerce or marketing platforms for next-best-action recommendations.

Minimum Qualifications

We want all new hires to succeed in their roles. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

Requirements:

• 5+ years of experience building and deploying machine learning models in production environments.
• Proficiency with Databricks and cloud-native ML tooling across GCP (Vertex AI), Azure ML, or AWS SageMaker.
• Strong programming skills in Python and SQL; hands-on experience with frameworks such as scikit-learn, TensorFlow, PyTorch, or MLflow.
• Proven experience building data pipelines, training workflows, and model-serving systems that integrate into enterprise environments.
• Experience creating AI-integrated dashboards or tools using Power BI, Tableau, or Looker.
• Demonstrated ability to collaborate with cross-functional teams including product owners, analysts, QA, and DevOps.
• Experience deploying models in GCP, especially with Vertex AI Pipelines, BigQuery ML, and GenAI Studio or similar.
• Familiarity with data product thinking—turning ML insights into reusable APIs, dashboards, or automated workflows that business teams can use daily.
• Hands-on with model explainability, governance, and bias detection tools (e.g., What-If Tool, SHAP, Model Cards).

Valtech: The Experience Innovation Company

Technology has remade the way we live, work, and connect. Every day new products, services, and features are raising our expectations in every aspect of our lives. It’s become common for whole new categories and consumer behaviors to emerge and disrupt legacy businesses. And as it becomes easier to digitize, launch, and evolve, the rush to leap ahead is quickly becoming a race to parity. Now that technology has once again leveled the playing field, we believe the next frontier and greater value lives in the experience. And that means the world needs a new kind of company to unlock that value.

We are the Experience Innovation Company. We know that experience now touches every level of your enterprise. It may necessitate fundamental changes in organizational design or require complex integration throughout your tech stack. It may start by catalyzing data to create emotional moments of connection with your customers, inspiring loyalty and brand love. Or it may come to life by getting innovation initiatives out of presentation decks and into the hands of your customers. No matter where experience innovation begins in your company, we are organized to help clients break through silos, redefine success, and deliver exponential value.

Our values give our work purpose. We care deeply about the transformative impact technology can have on the world and honor our duty to approach it responsibly. We share our diverse identities, knowledge, expertise, and skills in an open dialog rooted in respect and inclusivity. And we dare to pursue uncommon solutions and simplify the complex.

Share : As a global company with diverse talent, we value and embrace open dialogue. We share our expertise, wisdom and full attention with our clients and colleagues

Dare: Entrepreneurship and curiosity is in our DNA. We thrive in ambiguity and simplifying the complex. We dare to bring together, connect, and combine the uncommon.

Care: Technology has had a transformative impact on how we experience the world around us. We want to make the world a better place through the work we do.

Our unique culture allows us to orchestrate and connect teams to unlock powerful insights, value, and innovation at the intersection of diverse expertise and domains.

We believe diversity is essential to creating the best digital products & experiences. Valtech is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. We're proud to be an equal-opportunity employer committed to diversity and inclusion. We do not discriminate on the basis of race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status, or any other legally protected status.

Accommodations are available on request for all aspects of the selection process.

So, if you are looking for your next challenge? Then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working with composable Best-of-Breed technology platforms within the large-scale digital experience and e-commerce business area.