Jobs in Canada

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Added 15 hours ago
SM
RQ11874 – Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 15 hours ago
SM
RQ11688 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 15 hours ago
SM
RQ11836 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 15 hours ago
SM
RQ11847 – Technology Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 15 hours ago
VC
Développeur(se) logiciel IA | AI Software Developer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
De solides bases : structures de données, SQL, débogage de problèmes en production de bout en bout.
Added 15 hours ago
TI
QA Analyst
Tecsys Inc.
Remote, Canada
- Remote
Experience with Postman (REST/SOAP), SQL, AWS and load testing (e.g., JMeter)
Added 16 hours ago
IT - Intermediate Developer
Canada Cartage Group of Companies
Mississauga, ON
We’re looking for a hands-on Intermediate Developer to help modernize and scale our enterprise platform within a fast-moving transport and logistics environment.
Added 16 hours ago
GC
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Game Companies
Montreal, QC
- Full-time
Added 17 hours ago
MA
Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Marsh Agency
Toronto, ON
- Full-time
Experience in using advanced analytics and data manipulation software - R, Python, SAS, SQL, or SPSS.
Added 17 hours ago
J
Django/Python Developer (Full-Stack) (NLM)
JobsInPython
Prince Edward, ON
- Full-time
We are seeking a senior full-stack developer to own and modernize shared Python/Django capabilities and serve as the technical escalation point for complex, cross-application work. The role…
Added 17 hours ago
SI
Data Analyst
Spait Infotech
Canada
- Full-time
Write and optimize SQL queries to extract and manipulate data.
Added 17 hours ago
MA
SVP, Actuary
Marsh Agency
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 17 hours ago
Software Engineer (Part Time)
NorLease
Canada
Working knowledge of SQL and relational databases, ideally Postgres
Added 17 hours ago
MA
Oliver Wyman - Software Developer - Data & Analytics (DNA) - Montreal
Marsh Agency
Montreal, QC
- Full-time
Il s’agit d’un poste hybride, nécessitant une présence d’au moins trois jours par semaine au bureau de Montréal ou sur place chez les clients
Added 17 hours ago
RU
Oracle NetSuite Client Success Manager
RSM US LLP
Vancouver, BC
- Full-time
Strong understanding of JavaScript, SQL, JSON, REST, SOAP, and XML/XSD
Added 17 hours ago
G
Spécialiste en tests logiciels / Software Test Specialist - Unified Platform
Genetec
Montreal, QC
- Full-time
Maîtrise de Microsoft SQL et de la création de scripts PowerShell
Added 17 hours ago
A
Power Platform Architect (Canada)
Avanade
Toronto, ON
- Full-time
Design secure data models using a variety of data sources (Dataverse, SharePoint, SQL, etc.)
Added 18 hours ago
V
Senior Software Engineer
Veem
Ottawa, ON
- Full-time
Strong relational-database skills: SQL, schema design, transactions, query performance, and safe database migrations. MySQL experience is preferred.
Added 18 hours ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
Production proficiency in Python and SQL, with strong fundamentals in software design, API development (e.g., FastAPI), testing, and database optimization.
Added 18 hours ago
IW
Senior Specialist Software Engineering
IG Wealth Management
ON · Ontario, Canada
- Full-time
Experience working in different programming languages (Python, Flask, SQL) and platforms/ technologies (Linux & Windows, GitHub, Artifactory, etc)
Added 18 hours ago
IW
Senior Specialist Software Engineering
IG Wealth Management
MB · Manitoba, Canada
- Full-time
Experience working in different programming languages (Python, Flask, SQL) and platforms/ technologies (Linux & Windows, GitHub, Artifactory, etc)
Added 18 hours ago
O
gestionnaire du soutien à la clientèle/ Manager, Customer Support
OneSpan
Montreal, QC
- Full-time
Il s’agit d’un poste hybride nécessitant une présence au bureau de 2 à 3 jours par semaine
Added 18 hours ago
CC
Senior Full-stack Java Developer- RQ11874 (CANADA) - Onsite
Computer Consultants International, Inc.
Toronto, ON
- Contract
CCI is hiring a Senior Full-stack Java Developer. This role centers on designing, building and deploying secure, scalable Java/Spring Boot REST APIs and independent microservices. It covers…
Added 18 hours ago
OD
Salesforce Developer
OSI Digital
Toronto, ON
- $40,000 to $110,000 CAD / year
- Full-time
Experience with Data management preferred (SQL, XML, JSON, Hibernate)
Added 18 hours ago
OD
Salesforce Developer
OSI Digital
Vancouver, BC
- $40,000 to $110,000 CAD / year
- Full-time
Experience with Data management preferred (SQL, XML, JSON, Hibernate)

HelloFresh

Staff Machine Learning Engineer, AdTech

Toronto, ON, Canada

Apply on careers.hellofresh.com About employer

Applications open in a new tab.

Job details

Work location: This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Posting language: English
Posted: Nov 11, 2026

Original job description

S'more about the team

The Growth Tech Alliance's goal is to enable HelloFresh to drive smarter marketing through AI-powered automation, intelligent systems, and advanced optimization. We've pioneered cutting-edge approaches to programmatic campaign optimization using state-of-the-art AI/ML technologies and are now scaling these capabilities across our global marketing operations. Our team’s key responsibilities include designing, building, maintaining autonomous decision-making systems, advanced ML models for marketing optimization, and real-time intelligence that drives measurable business impact. We work at the intersection of modern AI architectures, agentic systems, and enterprise-scale ML operations.

We are looking for a Staff Machine Learning & AI Engineer to lead the engineering architecture of our multi-agent AI systems, with a focus on agent-driven products. In this role, you will bridge the gap between our data scientists and backend engineers, connecting internal automation APIs, AI agents, and the supporting ML models into a cohesive production platform.

At HelloFresh, Staff Engineers are hands-on builders. You will spend roughly 50% of your time writing production code and building critical systems, and 50% driving technical direction through architecture reviews, RFCs, and mentoring engineers and data scientists across the team.

Lettuce share what this role will be responsible for

Design, build, and maintain production multi-agent AI systems and LLM workflows using modern orchestration frameworks such as LangChain and LangGraph.
Build the APIs, tool-calling interfaces, and MCP integrations that connect our internal marketing automation services with AI agents and third-party platforms.
Partner with Data Scientists to take machine learning and statistical models from prototype into reliable production, and connect them to the agents that create, launch, and optimize ads.
Design end-to-end system architectures across our models, databases, and backend services, optimizing for reliability, correctness, and long-running workflows at scale.
Build evaluation pipelines, guardrails, state management, and human-in-the-loop approval workflows to ensure AI and ML systems run safely in production.
Author RFCs and Architecture Decision Records (ADRs) to align the team on technical direction and solve cross-team architectural challenges.
Raise the engineering bar across the team through code reviews, system design guidance, and active mentorship of Senior Engineers and Data Scientists.
All other duties, as assigned

Sound a-peeling? Here's what we're looking for

Extensive hands-on experience in Machine Learning Engineering, AI Engineering, or Backend Software Engineering, with a strong track record of building and operating distributed production systems.
Production proficiency in Python and SQL, with strong fundamentals in software design, API development (e.g., FastAPI), testing, and database optimization.
Hands-on experience building and deploying production LLM and agentic applications beyond simple prototypes, including agent orchestration (LangGraph/LangChain or similar), tool use, MCP, context management, and automated evaluations.
Experience with A/B testing or other experimentation methods (e.g., synthetic testing) to validate changes before and after launch.
Experience with multi-agent systems (e.g., supervisor and sub-agent designs) and the ability to explain the trade-offs between single-agent and multi-agent approaches.
Experience with multimodal AI models (vision-language models for image or video analysis and generation).
Experience building systems where predictive ML models and LLM-based agents work together to drive automated decisions.
Prior background in AdTech, MarTech, e-commerce growth, or high-scale consumer platforms.
Familiarity with deploying and scaling classical machine learning or deep learning models in production, alongside solid MLOps practices (CI/CD, model monitoring, and automated pipelines).
Experience working with modern cloud and data platforms such as Databricks, Unity Catalog, MLflow, Docker, and AWS.
Proven experience operating at a Staff or Principal level - able to think in systems, navigate ambiguity, write clear technical specs, and mentor other engineers.

Let’s cut to the cheese, this is why you'll love it here

Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
RRSP Matching - Competitive RRSP matching program offered
Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
Family Benefits - A parental leave top-up program for expectant parents.
Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Apply on careers.hellofresh.com About employer

More about this job

Responsibilities

You will design, build, and maintain production-grade multi-agent AI systems and LLM workflows to optimize marketing operations. Additionally, you will act as a technical leader, driving architecture decisions and mentoring engineers and data scientists.

Requirements

The role requires extensive experience in machine learning or backend engineering with a strong track record of building distributed production systems. Proficiency in Python, SQL, and modern AI orchestration frameworks like LangChain or LangGraph is essential.

Skills

Machine Learning Engineering
Python
SQL
LLM
LangChain
LangGraph
FastAPI
System design
Multi-agent systems
MLOps
Databricks
AWS
Docker
API development
Data science
Architecture

Benefits

Meal kit discounts
Health benefits
Dental benefits
Health spending account
Headspace app access
Fitness membership discount
RRSP matching
Paid time off
Parental leave top-up
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI Engineering
AdTech
MarTech
Python
SQL
LLM
LangChain
LangGraph
FastAPI
Multi-agent systems
MLOps
Databricks
Unity Catalog
MLflow
Docker
AWS
System Architecture
API Development
Data Science
Marketing Automation
CI/CD
Model Monitoring
A/B Testing
Multimodal AI
Software Engineering
Distributed Systems
Mentorship
RFC
ADR

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Work requirements

Jobs in Canada