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AI Systems Engineer – AI Model (Training & Inference)
AMD
Markham, ON
$132,000 to $198,000 USD / year
Full-time
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating…
AI Systems Engineer – AI Model (Training & Inference)
Advanced Micro Devices, Inc
Markham, ON
Full-time
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating…
Développeuse ou développeur côté serveur (backend) Staff - Systèmes d’inférence ML / Staff Backend Engineer, ML Inference Systems
Unity Technologies
Montreal, Quebec
Full Stack AI Engineer / Applied AI Engineer
Xsolla
Montreal, Quebec
Full-time
Design and develop full-stack applications that power GenAI applications and platforms
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
Full-time · Remote
We're looking for a Lead / Senior / Staff QA Engineer to own quality for Nexxa's AI agent systems - products that plan, call tools, and take multi-step actions autonomously in industrial…
Senior Software Engineer - AI / ML
CyberCoders
Canada
Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Senior AI / ML Engineer
MCI Careers
Canada
Other
We are seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions that drive innovation…
Principal Engineer, AI & ML Solutions
Royal Bank of Canada
Vancouver, BC
Full-time
10+ years software or platform engineering experience, with at least 5 years focused on AI/ML infrastructure, API platform engineering, or large-scale distributed systems
Principal Engineer, AI & ML Solutions
RBC
Vancouver, BC
Full-time
10+ years software or platform engineering experience, with at least 5 years focused on AI/ML infrastructure, API platform engineering, or large-scale distributed systems
Senior Data Engineer, AI Systems
Movable Ink
Toronto, Ontario
The AI Systems team owns the core recommendations engine and ML platform that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a…
Senior Data Engineer (Streaming + AI Systems)
Calliere
Toronto, Ontario · Greater Toronto Area, Ontario
Full-time
…data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data systems and scalable architecture supporting both operational…
Added 1 day ago
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
Full-time
Role SummaryProject X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing…
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
A physical design or CAD methodology engineer who has built flows that production teams depend on daily.
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
Apply knowledge of power systems, electromagnetic theory, and circuit design to validate and verify AI/ML model outputs, ensuring results are physically meaningful and aligned with…
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
$22 to $26 CAD / hour
Apply knowledge of power systems, electromagnetic theory, and circuit design to validate and verify AI/ML model outputs, ensuring results are physically meaningful and aligned with…
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant…
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
Full-time
…including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant…
Staff AI Platform Engineer - Inference & Agentic Systems
Paytm
Toronto, ON
Full-time
As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
Full-time
…rather than fear - whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production…
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…rather than fear - whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production…
Senior Software Engineer - AI (Materia AI)
Thomson Reuters
Remote, Canada
Full-time · Remote
As a Senior Software Engineer – AI, you will design, implement, and optimize backend services that fuel AI‑native experiences across our Materia‑driven product ecosystem. You’ll be…
AI Engineer - AI Platform Engineering
RBC
Vancouver, BC · Toronto, ON
Full-time
This role is responsible for designing, building, and hardening platform infrastructure that powers enterprise agentic AI systems and persona-driven workflows to optimize productivity and…
AI Engineer - AI Platform Engineering
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
This role is responsible for designing, building, and hardening platform infrastructure that powers enterprise agentic AI systems and persona-driven workflows to optimize productivity and…

Movable Ink

Senior Data Engineer, AI Systems

Toronto, ON, Canada

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

Build and optimize Spark-based data pipelines and infrastructure to power AI-driven personalization and ML models. Collaborate with ML engineers to maintain the ML Data Lake and resolve performance bottlenecks for large-scale data systems.

Requirements

Requires over 5 years of data engineering experience with deep expertise in Apache Spark, Python, and GCP. Candidates must be proficient in data storage formats, event streaming, and modern software development lifecycle practices.

Experience

5 to 10 years

Working hours

40 hours per week

Job type

Full-time

Work arrangement

On-site

Skills

Apache Spark
PySpark
Python
GCP Dataproc
Parquet
Delta Lake
Kafka
Google Cloud Platform
Query Optimization
CI/CD
Docker
Kubernetes
GitHub Actions
Data Pipeline Optimization
ML Infrastructure
Distributed Systems

Benefits

Medical Benefits
Financial Benefits

Minimum pay

$144,000

Maximum pay

$188,000

Pay currency

CAD

Pay period

YEAR

Visa sponsorship

Not detected in the job text

Keywords

Apache Spark
PySpark
Python
GCP Dataproc
Parquet
Delta Lake
Kafka
Google Cloud Platform
Docker
Kubernetes
GitHub Actions
CI/CD
Machine Learning
Data Engineering
Data Lake
Personalization
Distributed Systems
Query Optimization
Data Pipelines
AI Systems

Original job description

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

The AI Systems team owns the core recommendations engine and ML platform that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior Data Engineer, you will own the Spark-based data pipelines and data infrastructure at the heart of this system - building, scaling, and optimizing the data layer that feeds our production ML models. You will work alongside ML engineers and scientists in a collaborative environment, contributing data pipelines and products to power our core recommender systems and our DaVinci Personalization product. This is an opportunity to work end-to-end on large-scale data systems that touch millions of customers, on a team working at the intersection of data engineering and machine learning.

This role will be reporting to the Director of Engineering (AI/ML).

Responsibilities:

Build, maintain, and optimize production data pipelines that power AI-driven personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping
Own and scale Spark-based batch pipelines, including cluster configuration, tuning, and performance optimization across GCP Dataproc
Build and maintain our ML Data Lake, ensuring data quality, accessibility, and efficient storage
Support the data needs of ML Engineers and Scientists for model development, training, and evaluation
Identify and resolve performance bottlenecks and scaling limitations in data pipelines and infrastructure
Collaborate with distributed systems engineers on the platform's architectural evolution, ensuring data layer continuity throughout
Continuously improve data infrastructure for greater scalability and reliability
Release features and data products that deliver measurable and tangible business value

Qualifications:

5+ years of data engineering experience
Deep expertise with Apache Spark, including the PySpark DataFrame API and experience solving challenging scaling problems
Experience with large-scale data processing, cluster configuration, optimization, and tuning (we use GCP Dataproc)
Strong software development skills in Python (unit testing, git, code review, CI/CD)
Experience with data storage formats (we use Parquet, Delta Lake)
Experience with event streaming data (we use Kafka)
Experience with cloud computing platforms (we use Google Cloud Platform)
Experience with advanced query optimization
Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use Docker, Kubernetes, and GitHub Actions)
Ability to collaborate with technical partners - you'll be working closely with ML engineers, scientists, and other teams to determine requirements and make design decisions
Enjoys working in a fast-paced, goal-driven environment

The base pay range for this position is $144K CAD - 188K CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

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