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Added 7 mins ago
WR
Manager, Stewardship & Impact
Waterloo Regional Health Network Foundation (WRHNF)
Kitchener, ON
- $73,950 to $86,700 CAD / year
- Full-time
Strategy & Design: Lead the development, execution, and continuous optimization of multi-channel impact reporting strategies across all donor segments, with a heavy focus on Major Gift and…
Added 7 mins ago
WI
Senior Project Management - Land Development
WSP in Canada
ON · Ontario, Canada
- Full-time
…shape thriving communities? As a Senior Project Manager – Land Development & Municipal Engineering, you will lead high‑impact projects across Ontario, overseeing the full project lifecycle…
Added 7 mins ago
S
AI Engineer
Stripe
Toronto, ON
- Full-time
…users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org - building production-quality tooling, supporting our…
Added 7 mins ago
WI
Senior Project Engineer - Land Development
WSP in Canada
ON · Ontario, Canada
- Full-time
Lead transformative land development projects that help shape growing communities. As a Senior Project Engineer, Land Development, you will combine technical excellence, project leadership,…
Added 7 mins ago
SG
Senior Product Solutions Analyst
Scotia Global Asset Management
Toronto, ON
- Full-time
…analytics solutions. This role involves contributing to the development and enhancement of internal generative AI applications, including prompt engineering and design tailored for SGAM…
Added 7 mins ago
ZS
GCP Infrastructure & Cloud SRE Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: GCP Infrastructure & Cloud SRE Engineer
Added 7 mins ago
RE
Software Engineer UI
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Temporary
We’re looking for a Software Engineer to join the Jedi team in creating a best-in-class experience for our players. On the Jedi Engineering team, we believe in individual ownership of…
Added 7 mins ago
WI
Electrical Engineer - Transportation & Buildings
WSP in Canada
Toronto, ON
- Full-time
Your impact starts here. As an Electrical Engineer with WSP, you will contribute to complex transportation and building projects that support safe, reliable, and sustainable land, air, and…
Added 7 mins ago
WI
Electrical Engineer - Transportation & Buildings
WSP in Canada
Markham, ON
- Full-time
Your impact starts here. As an Electrical Engineer with WSP, you will contribute to complex transportation and building projects that support safe, reliable, and sustainable land, air, and…
Added 7 mins ago
NS
Welder (Site-Based)
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
Innovation- if it doesn’t exist, we will engineer and manufacture it
Added 7 mins ago
NS
Pipefitter (Site Based)
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
Innovation- if it doesn’t exist, we will engineer and manufacture it
Added 7 mins ago
NS
Construction Miner
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
…wide range of projects including underground construction, development mining, conventional mining, and mine rehabilitation. The tasks are varied and are subject to the type of mine site…
Added 7 mins ago
RM
Manager, Mechanical
Rocky Mountaineer
Kamloops, BC
- Full-time
Provide timely, constructive feedback and create meaningful development opportunities that strengthen individual and team capability.
Added 7 mins ago
WI
Electrical Engineer - Transportation & Buildings
WSP in Canada
Vaughan, ON
- Full-time
Your impact starts here. As an Electrical Engineer with WSP, you will contribute to complex transportation and building projects that support safe, reliable, and sustainable land, air, and…
Added 11 mins ago
A
Electrical Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Registered as a Professional Engineer in the Province of Ontario.
Added 11 mins ago
A
Help Desk Operator
AtkinsRéalis
Ottawa, ON
- Full-time
Make the most of diverse opportunities for training and professional development to grow your skills and expertise.
Added 11 mins ago
Mechanical Engineer
Enerflex Ltd
Calgary, AB
As a Mechanical Engineer, you will lead the mechanical scope and design for power generation projects. You will develop and review power system designs, specifications, calculations,…
Added 11 mins ago
E
Software Engineer/Senior Software Engineer (Full Stack)
Envisio
Remote, Canada
- $90,000 to $110,000 CAD / year
- Full-time
- Remote
We are looking for an experienced and passionate Full Stack Software Engineer to join our Engineering team. You will build the tools that public agencies and local governments rely on to…
Added 11 mins ago
T
Information Security Analyst (Detection Engineer)
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 11 mins ago
Software Engineer
Scotiabank
Toronto, ON
As a Software Engineer on Scotiabank’s Data & AI Technology team, you will be involved in designing, building, and scaling our enterprise data catalog and data management solutions…
Added 11 mins ago
T
Information Security Analyst II ( Social Engineer Threat Analyst)
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 11 mins ago
C
Infrastructure DevOps Analyst
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior DevOps Engineer with a strong focus on Python development to join our dynamic Technology team. In this intermediate-level position,…
Added 11 mins ago
C
Trade QA Automation Engineer – Assistant Vice President
Citi
Mississauga, ON
- Full-time
The Trade QA Automation Engineer – Assistant Vice President applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and…
Added 11 mins ago
M
Full-Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Designs, develops, tests, delivers, maintains, and improves business applications as a member of a team, working across Full-Stack through the entire software development lifecycle.
Added 11 mins ago
KI
Quality Manager
KBR, Inc.
Calgary, AB · Nisku, AB
- Full-time
ASQ Certified Quality Engineer (CQE), Certified Quality Auditor (CQA), or equivalent certification.

Autodesk

Senior Machine Learning Engineer

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

For Canada based roles, we expect a starting base salary between $123,000 and $180,400. · Full-time

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Job details

Pay: For Canada based roles, we expect a starting base salary between $123,000 and $180,400.
Job type: Full-time
Experience: 5+ years of machine learning engineering, or data engineering, or related experience, including significant experience developing production systems
Posting language: English
Posted: Oct 7, 2026

Original job description

Job Requisition ID #

26WD101236

Position Overview

We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market intelligence function.

The mission of the team is to empower decision makers and the broader data communities through trusted data assets and scalable self-serve intelligence. The focus of this role will be engineering end-to-end AI/ML solutions - including feature engineering, data cleansing, contributing in model training process, model deployment, model validations, model evaluation, inference pipelines, and production orchestration.

You will work at the intersection of machine learning, data & analytics engineering, You will collaborate closely with data engineers, data scientists, analysts, platform teams, and business stakeholders to deliver reusable intelligent data products at enterprise scale.

The role requires a strong engineering mindset, hands-on experience building production ML systems, and the ability to evaluate and integrate rapidly evolving AI technologies while maintaining high standards for quality, observability, security, governance, cost efficiency, and operational reliability.

Responsibilities

Design, develop, test, deploy, and maintain production-grade ML pipelines supporting enterprise-scale use cases
Develop reusable ML services and components
Develop robust model evaluation frameworks covering dimensions such as accuracy, relevance, groundedness, consistency, latency, throughput, robustness, and cost
Design automated evaluation pipelines using deterministic metrics, model-based evaluation, curated datasets, regression testing, and human evaluation where appropriate
Build and maintain distributed processing pipelines capable of handling large volumes of documents, web content, structured data, and unstructured data efficiently
Design and optimize distributed pipeline and cloud orchestration for large-scale AI workloads using appropriate workflow orchestration and cloud-native technologies
Implement resilient processing patterns including concurrency management, queue-based architectures, checkpointing, retries, failure recovery, rate limiting, and idempotent processing
Optimize AI/ML systems for latency, throughput, scalability infrastructure utilization, and model inference cost
Partner with platform engineering teams to integrate AI applications with the relevant platforms, APIs, identity and access management, monitoring, and deployment infrastructure
Implement appropriate MLOps and LLMOps practices, including model and prompt versioning, experiment tracking, evaluation, deployment automation, monitoring, rollback mechanisms, and lifecycle management
Build comprehensive observability and monitoring mechanisms across ML pipelines, covering pipeline health, model performance, data quality, failures, and cost
Implement mechanisms to identify and manage model drift, data drift, quality degradation, and upstream data changes
Build modular frameworks and reusable components that enable teams to develop new capabilities through self-service patterns rather than one-off implementations
Work closely with data scientists, data engineers, analysts, product teams, and business stakeholders to translate business problems into appropriate ML architectures and implementation strategies
Translate complex ML system designs, model behavior, limitations, and trade-offs into business-appropriate representations for technical and non-technical stakeholders
Support experimentation and rapid prototyping while ensuring successful solutions can transition into maintainable, production-grade systems
Contribute to engineering standards, reference architectures, design reviews, code reviews, technical documentation, and AI/ML engineering best practices

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, Information Systems, or a related technical discipline
5+ years of machine learning engineering, or data engineering, or related experience, including significant experience developing production systems
Demonstrated experience designing and operating production ML systems rather than only experimentation or notebook-based model development
Strong programming skills in Python, with the ability to develop modular, testable, maintainable, and production-quality software

Working experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios
Experience with workflow orchestration technologies such as Airflow or comparable orchestration frameworks
Have experience on Data transformation tools like DBT
Hands-on experience building and deploying machine learning inference pipelines and services
Experience designing distributed data or ML processing pipelines for high-volume workloads
Experience deploying workloads into a major cloud environment, preferably AWS, and working with cloud services for compute, storage, event processing, monitoring, and distributed execution
Experience with Git-based software development workflows, code reviews, branching strategies, and collaborative engineering practices
Familiarity with MLOps concepts, including experiment tracking, model lifecycle management, deployment, model monitoring, reproducibility, and versioning
Experience working with structured and unstructured data and designing preprocessing, enrichment, and transformation pipelines.
Strong analytical, debugging, and problem-solving skills with the ability to diagnose issues across application, model, pipeline, and infrastructure layers
Strong written and verbal communication skills and the ability to collaborate effectively with engineering, data science, product, and business stakeholders
Ability to work effectively with geographically distributed teams across multiple time zones
Familiarity with Agile/Scrum software development practices.
Experience working with remote teams spread across multiple time-zones

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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More about this job

Responsibilities

Design, build, and scale production-grade AI/ML and Agentic AI systems to support go-to-market intelligence. Collaborate with cross-functional teams to develop reusable ML services, evaluation frameworks, and robust data pipelines at enterprise scale.

Requirements

Requires a bachelor's degree in a technical field and at least 5 years of experience in machine learning or data engineering. Candidates must have strong Python programming skills and hands-on experience with Snowflake, cloud environments, and MLOps practices.

Skills

Python
Snowflake
Snow SQL
Snow Pipe
Airflow
DBT
Machine Learning
MLOps
LLMOps
Cloud orchestration
AWS
Data engineering
Distributed systems
Model evaluation
Feature engineering
Data pipelines

Benefits

Annual cash bonuses
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI
Agentic AI
Python
Snowflake
Snow SQL
Snow Pipe
Airflow
DBT
MLOps
LLMOps
AWS
Cloud Computing
Data Engineering
Feature Engineering
Model Deployment
Inference Pipelines
Distributed Systems
Data Governance
Observability
Agile
Scrum
Data Science
Automation
Scalability
Model Drift
Prompt Versioning
Infrastructure
API
Identity and Access Management

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