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Added 5 mins ago
Senior Data Engineer - Calgary
Capgemini
Calgary, AB · Vancouver, BC
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a…
Added 5 mins ago
Cloud Support Eng. II (DSE), Support Engineering
Amazon
Toronto, ON · Vancouver, BC
As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed. You will act as the Cloud…
Added 19 mins ago
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Lead Optimizely Solutions Architect
Valtech
Canada
- Full-time
Experience designing analytics and data solutions involving platforms such as Optimizely Data Platform, Google Analytics, Adobe Analytics, Snowflake or BigQuery.
Added 19 mins ago
C
Senior Data Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 19 mins ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 20 mins ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 34 mins ago
B(
Regulatory Manager
Bitdeer (NASDAQ: BTDR)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex…
Added 36 mins ago
QI
AI Engineer
Quartermaster inc.
Toronto, ON
- Full-time
We believe in holistic solutions to consumer problems. We believe in high-trust hyperlocal communities. We believe in low commission marketplaces that the best Pros can actually say yes to.…
Added 36 mins ago
AM
Customs & Trade Compliance Analyst
Array Marketing
Toronto, ON · Scarborough, Ontario
- Full-time
For over 40 years, Array Marketing has been a global leader in retail displays and in-store merchandising solutions. With more than 1,800 employees worldwide, we partner with leading brands…
Added 36 mins ago
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Senior Software Engineer (Python / GenAI) – Markets Technology
Citi
Mississauga, ON
- Full-time
…Generation (RAG) techniques to develop efficient, production-grade solutions using Citi's proprietary data at…
Added 48 mins ago
IG
Deployment Engineer
Insight Global
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Overview Insight Global is seeking a Forward Deployment Engineer to design, build, and deploy AI-powered solutions that solve complex business challenges. This role sits at the intersection…
Added 48 mins ago
TC
Senior L3 Network Engineer (Network SME and Automation Lead)
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Arista campus and data centre switching solutions
Added 48 mins ago
K
Procurement Engineer
Kinectrics
Toronto, ON
- Full-time
…services in the energy and utility sector. We develop innovative solutions for the global electricity and medical industries, helping empower a sustainable future. Trusted by clients…
Added 48 mins ago
A
Staff Data Developer
AtkinsRéalis
Montreal, QC
- Full-time
Partner closely with data analysts, data architects, QA analysts, product owners, business stakeholders, and technical teams to clarify requirements and translate them into dependable…
Added 48 mins ago
R
Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Design and deliver Retrieval Augmented Generation solutions, including document ingestion, chunking, indexing, vector search, hybrid search, reranking, and grounding strategies over curated…
Added 50 mins ago
LC
Data Engineer II
Loblaw Companies Limited
Brampton, ON
- Full-time
Loblaw Technology & Analytics is looking for a Data Engineer II to join the Data & AI platform team. You will help design, build, and maintain the cloud services, workflow orchestration,…
Added 50 mins ago
GM
Early Career Software Test Developer - Propulsion Thermal Management
General Motors
Markham, ON
- Full-time
Familiarity with data-storage solutions, databases, and data-processing frameworks.
Added 1 hour ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
We are currently looking for a Senior DevOps Engineer to contribute to the development of our cloud infrastructure and platform tooling, embed security into our engineering lifecycle, and…
Added 1 hour ago
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Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
Source test data and apply masking techniques to protect sensitive information in lower environments.
Added 1 hour ago
AS
Forward-Deployed Software Engineer (AI Integration & Modernization)
Andromeda Software Inc.
Toronto, ON
- Full-time
Build solutions that integrate deeply with existing BU systems including SaaS products, on-prem platforms, ERPs, and CRMs, resolving complex issues across back-end services, data flows, and…
Added 1 hour ago
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Senior Data Engineer
Luxoft
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on implementing reliable data solutions in a…
Added 1 hour ago
VC
Développeur fiscal - Ingénieur de données | Tax Developer - Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Valsoft is looking for a Data Analytics Engineer to join our Tax department in Montreal, Quebec, working closely with Tax, Finance, Data Platform teams, and external consultants to build…
Added 1 hour ago
E
Thermal Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
…generation of AI, high-performance computing, and sustainable data center technologies? At CoolIT, an Ecolab company, you'll help develop innovative liquid cooling solutions that support…
Added 1 hour ago
E
Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
As a Mechanical Engineer, you will lead the design and development of Coolant Distribution Units (CDUs) from concept through production. Working closely with cross-functional teams,…
Added 1 hour ago
E
Senior Thermal Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
…that power AI, high-performance computing, and next-generation data centers? As a Senior Thermal Mechanical Engineer, you will lead the development of innovative thermal management…

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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