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Added 5 hours ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Strong programming skills in Python, with the ability to develop modular, testable, maintainable, and production-quality software
Added 5 hours ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and…
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RQ11622 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
of testing tools, and the identification of resources required for
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M(
Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Nice to have: GraphQL, React Native, or SQL database experience. For this area, we also value: Experience with search technology, authentication and identity, design systems or component…
Added 5 hours ago
M(
Full-Stack Developer - Core
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Our core stack is TypeScript, React, Node.js, and MySQL. Some teams use C# or Python. You don't need to already know every piece of it to apply. You'll land on a team of 5 to 10 people and…
Added 5 hours ago
RI
Integration Engineer
Remarcable, Inc.
Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
Remarcable is seeking a resourceful and talented Integration Engineer to join our Vancouver-based team and contribute to the ongoing growth and development of our platform. As Remarcable’s…
Added 5 hours ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
- Full-time
Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and…
Added 5 hours ago
GS
Python Developer
Gala Solutions
Montreal, QC
- Contract
Good knowledge of Database concepts and writing SQL queries and Stored Procedures and query optimization
Added 5 hours ago
EI
Python Developer
Extend Information Systems Inc.
Mississauga, ON
- Full-time
At least 8 years of experience as a Python Developer.
Added 6 hours ago
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Data Scientist II
TD
Toronto, ON
- Full-time
Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI within cloud environments (Azure Databricks and enterprise data platforms)
Added 6 hours ago
A
Java Backend Developer
Apptad
Montreal, QC
- Contract
In this role, you will be responsible for designing, developing, testing, and delivering high-quality software solutions. The ideal candidate should have strong expertise in Java, SQL,…
Added 6 hours ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and…
Added 6 hours ago
Senior Product Solutions Analyst
Scotiabank
Toronto, ON
Advanced knowledge in Python and SQL and working with large data sets
Added 6 hours ago
A
Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
Proficient in SQL, data pipelines, Databricks/Snowflake, APIs, and preferably programming experience ideally in Python.
Added 6 hours ago
O
Technicien(ne) en observabilité d'infrastructure
Onepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 6 hours ago
O
Analyste SOC Purple Team, sécurité en production
Onepoint
Montreal, QC
- Full-time
Expérience en scripting (Shell, Python, Java, PowerShell, Ansible, SQL);
Added 6 hours ago
W
Technicien(ne) en observabilité d'infrastructure
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 6 hours ago
W
Analyste SOC Purple Team, sécurité en production
Wepoint
Montreal, QC
- Full-time
Expérience en scripting (Shell, Python, Java, PowerShell, Ansible, SQL);
Added 6 hours ago
OA
AI Agent Developer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We require strong proficiency in at least two major programming languages, such as Python, JavaScript, Go, or Java, along with experience using SQL databases.
Added 6 hours ago
RI
Senior Oracle Apps AI Developer
Raas Infotek
ON · Ontario, Canada
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 6 hours ago
GT
Data Analyst - ADF + Databricks
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $95 CAD / hour
- Contract
In-depth experience working with and deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases
Added 6 hours ago
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Senior Technical Lead-Oracle Cloud- Oracle AI
Yochana
ON · Ontario, Canada
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 6 hours ago
EI
AWS DEVOPS & INTEGRATION ENGINEER
EMERES INC.
Montreal, QC
- Full-time
We are a public safety software company based in Montreal, Canada, with a particular focus on Computer Aided Dispatch and 911 technology. Our close knit and highly experience team has…
Added 6 hours ago
QT
Microsoft Power Platform- Need Local Candidate to Montreal, QC(In-Person Interview MUST)
Q1 Technologies, Inc.
Montreal, QC
- $110,000 to $140,000 CAD / year
- Full-time
We are seeking a highly skilled Power Platform & GenAI Developer with hands-on experience in Microsoft Power Apps, Power Automate, Copilot, Large Language Models (LLMs), and database…
Added 6 hours ago
BS
Lead Java Developer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
12+ years of software development experience with strong expertise in Java and Python application development.Lead the design, development, and delivery of scalable enterprise applications,…

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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