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Added 50 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
The Senior L3 Network Engineer is the technical lead for the Switch Lifecycle Refresh Program, with responsibility for engineering design, migration planning, technical governance, advanced…
Added 50 mins ago
A
Staff Data Developer
AtkinsRéalis
Montreal, QC
- Full-time
…Analytics team delivers enterprise data platforms, analytics, automation, and AI capabilities that support critical business processes across finance, operations, projects, people, and…
Added 52 mins ago
Senior Security Engineer, Threat Response
Asana
Vancouver, BC
We are looking for a savvy Security Engineer to join our Blue Team. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT,…
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
The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and…
Added 1 hour ago
A
Senior QA Automation Engineer / SDET
Affinity
New Westminster, BC
- Contract
On behalf of our client, Affinity is seeking a Senior QA Automation Engineer / Software Development Engineer in Test (SDET) for a 5-month contract. Candidates must be located in the Lower…
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
A
Services Senior Staff Project Manager
AVEVA
Calgary, AB
- Full-time
Lead cross-functional delivery teams, including software engineers, OT/automation specialists, DevOps, QA, data engineers, and site services to achieve project outcomes.
Added 2 hours ago
Senior Forward-Deployed AI Engineer 1
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 2 hours ago
WH
Senior Automation Engineer
Waterstone Human capital
Toronto, ON
- Full-time
…PLC programming and assembly in-house. They're looking for a Senior Automation Engineer to join a growing electrical engineering team as they invest further in their controls…
Added 2 hours ago
Jr Instrumentation & Controls EIT
North American Rail Solutions
Calgary, AB
Our team is looking for a full-time Jr. Instrumentation & Controls Engineer in Training who is driven to deliver their best work every day and are committed to working collaboratively to…
Added 2 hours ago
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Technical Specialist II
BMO
Toronto, ON · SCC
- Full-time
We are looking for a highly skilled DevOps/Site Reliability Engineer (SRE) to join one of our high-performing, mission-critical technology teams. This role offers the opportunity to work on…
Added 2 hours ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
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…
Added 2 hours ago
CI
Senior Microsoft 365 & Unified Communications Engineer
Compugen Inc
Surrey, BC
- Full-time
Position Overview: Compugen is currently recruiting for a Senior Unified Communications Specialist role. Flexibility to work full-time shifts, including weekends and evenings is required.…
Added 3 hours ago
Platform Engineer - AI Engineering
DRW
Montreal, QC
We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on…
Added 3 hours ago
RA
Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)
Recrute Action
Toronto, ON
- Contract
Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)
Added 3 hours ago
BS
Technical Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Added 3 hours ago
TC
RPA Platform Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
The Senior Platform Engineer develops, maintains, and manages automation platforms across on-premises environments, AWS cloud, and vendor SaaS solutions to enable automation across…
Added 4 hours ago
A
Staff Developer
AtkinsRéalis
Toronto, ON · Montreal, QC
- Full-time
…Analytics team delivers enterprise data platforms, analytics, automation, and AI capabilities that support critical business processes across finance, operations, projects, people, and…
Added 4 hours ago
T
Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
The Risk Technology team is seeking a junior Software Engineer with 2–3 years of relevant experience to contribute to both application development and quality engineering. The successful…
Added 4 hours ago
V
Senior NPI Engineer
Voltera
Waterloo, ON
- Full-time
Background or hands-on experience in Electrical Engineering, Quality Assurance, or Software Engineering (specifically related to test automation/scripting).
Added 4 hours ago
ME
Senior Protection & Control Engineer
Morson Edge (Canada)
Burnaby, BC
- $95 to $120 CAD / hour
- Contract
The Engineer E5 is a senior engineering professional responsible for delivering innovative engineering, estimating, planning, and quality management services on medium to high complexity…
Added 5 hours ago
A
Senior Instrumentation Control and Electrical Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Come join us in reshaping the future with AtkinsRéalis. We are seeking a highly motivated Senior Instrumentation, Control & Electrical Engineer to join our Retube Tooling & Field Services…
Added 5 hours ago
CO
Servicing Delivery Lead
Capital One
Toronto, ON
- Full-time
Continuously re-engineer existing workflows into target-state solutions, reducing manual effort and driving enterprise-wide operational efficiency.
Added 5 hours ago
Applied AI Engineer
ContactMonkey
Toronto, ON
You'll work alongside senior engineers, Product, and our Chief Product & Technology Officer (CPTO) to design, prototype, and ship AI-powered capabilities quickly. This role is hands-on and…

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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