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Added 1 hour ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 4 hours ago
A
Senior Machine Learning Operations Developer: AI/ML Platform
Autodesk
Vancouver, BC · Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled MLOps Developer to join our AI/ML Platform team. This role is pivotal in…
Added 5 hours ago
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Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Productionization, MLOps, & System Engineering
Added 5 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
MLOps & DevOps: Vertex AI Pipelines, MLflow, CI/CD for AI Applications, Model Governance & Monitoring, Infrastructure as Code (Terraform)
Added 5 hours ago
Q
ML Architect
Quantiphi
Canada
- Full-time
Implement and manage MLOps principles and best practices for Gen AI models
Added 5 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Strong expertise in MLOps concepts and ML lifecycle management.
Added 5 hours ago
UH
Senior Data Science Analyst
University Health Network
Toronto, ON
- Contract
Establish and maintain MLOps best practices, including model versioning, pipeline automation, experiment tracking, and reproducible workflows.
Added 6 hours ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 6 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
AWS SageMaker (Model Development, Training, Deployment, Monitoring) AWS SageMaker Feature Store and Feature Engineering MLOps and Python Development
Added 7 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Strong expertise in MLOps concepts and ML lifecycle management.
Added 7 hours ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Experience implementing MLOps pipelines and ML lifecycle management
Added 7 hours ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 7 hours ago
O
Senior Project Manager
OnX
Toronto, ON
- Full-time
Exposure to AI or GenAI project delivery - such as AI readiness/maturity assessments, AI strategy roadmaps, model deployment, MLOps, or AI governance frameworks - is strongly preferred.
Added 8 hours ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 8 hours ago
ET
AWS SageMaker / Machine Learning Engineer
Envision Technology Solutions
Toronto, ON
- Contract
Experience implementing MLOps pipelines and ML lifecycle management
Added 8 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…Python/PySpark, Large Language Models (LLMs), SQL, APIs, and Data/MLOps with experience integrating AI solutions into enterprise…
Added 8 hours ago
AS
Senior AWS Snowflake Architect
Aaura Softwares
Markham, ON
- Temporary
Added 8 hours ago
A
Data Science Manager
Askuity
Toronto, ON
- Full-time
Added 9 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
Added 11 hours ago
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Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 11 hours ago
N
Artificial Intelligence (AI) Governance Specialist
NuEnergy.ai
Ottawa, ON
- Full-time
…cloud platforms (e.g., AWS, Azure, Google Cloud), APIs, and MLOps pipelines.’Experience working with AI evaluation methods and risk analysis…
Added 14 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
Deploy and operate AI solutions in non-production and production environments using established DevSecOps and MLOps practices.
Added 23 hours ago
TI
Senior HVAC Engineer
Trane Italia
Montreal, QC
- Full-time
Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions.
Added 23 hours ago
TI
HVAC engineer
Trane Italia
Montreal, QC
- Full-time
Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions.
Added 23 hours ago
SS
Architecte Senior de Solutions (Expérience en Intelligence Artificielle)
Sopra Steria
Montreal, QC
- Full-time
Accompagner les équipes dans l’adoption des pratiques MLOps et AI Ops.

AltaML

Manager, Software Engineering

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 6, 2026
Experience: 5+ years of software engineering experience, including at least 2 years in a technical lead or management role
Posting language: English
Posted: Sep 15, 2026

Original job description

Engineering @ AltaML - How We Work:

We are an AI-first company. Claude Code and AltaML's shared configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people use.
We expect dramatically higher productivity from working this way. A step change, not a marginal gain. That's the baseline we hire and promote against, not an aspirational ceiling.
We believe AI has compressed what used to take weeks into days, and what used to take days into hours. Estimates, sprint commitments, and delivery timelines should reflect that reality, not pre-AI habits.
Show us, don't tell us. As part of applying, share an example of your AI-assisted coding: a PR, a repo, a recorded session, or whatever best demonstrates how you actually work with AI day to day.
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.

About the Role:
AltaML is looking for a Manager, Software Engineering to lead a delivery pod where technical excellence and team health go hand in hand. You'll own the architectural integrity of your pod's solutions, clear the path for your engineers to do their best work, and keep delivery on time and on scope, all while operating at AltaML's AI-first standard for how fast and how well work gets done. This is a role for someone who can set the technical bar, grow a strong team, and keep clients and stakeholders confident in what your pod delivers.

Technical Execution & Oversight

Guide your pod on architectural decisions and set technical direction, ensuring solutions are robust, scalable, and aligned with company standards
Champion AI-assisted development as the default way of working, holding your pod to a standard where weeks compress to days and days compress to hours
Remove engineering blockers and facilitate cross-functional technical discussions to keep delivery on track
Partner with the delivery team to ensure on-time, on-scope delivery across all active projects
Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps)

People Leadership & Development

Run regular 1:1s with direct reports focused on career growth, performance, and wellbeing
Provide timely, constructive feedback and support individual development plans
Foster an inclusive, psychologically safe environment where engineers can do their best work

Responsible AI & Quality Assurance

Ensure models and systems are explainable, fair, and auditable throughout the solution lifecycle
Uphold and champion AltaML's Responsible AI guidelines and development best practices across the pod
Manage end-to-end solution quality in partnership with the pod lead, from design through deployment

Stakeholder & Client Coordination

Communicate pod progress, risks, and outcomes clearly to internal stakeholders and external clients
Maintain a strong communication loop with the delivery team to keep project requirements aligned
Support pre-sales and business development with solution architecture input, demos, and technical Q&A

Resource Planning & Hiring

Conduct hiring interviews and contribute to candidate assessment for engineering roles, evaluating for genuine AI-assisted development fluency
Assist with quarterly resource allocation planning across the pod

What You Bring:

5+ years of software engineering experience, including at least 2 years in a technical lead or management role
Fluent, hands-on use of AI coding tools (e.g., Claude Code or equivalent), with the ability to set - not just permit - that expectation for your team
A demonstrated track record of driving architectural decisions and maintaining engineering quality in a fast-paced delivery environment
Experience managing and growing engineers across different levels
Comfort engaging directly with clients and stakeholders, translating technical complexity into clear, confident communication
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
A track record of championing responsible, ethical AI and inclusive team culture

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Lead a software engineering delivery pod by setting technical direction, maintaining architectural integrity and solution quality, removing blockers, and ensuring projects are delivered on time and within scope. Develop and support engineers, champion AI-assisted and responsible development practices, coordinate with clients and stakeholders, and contribute to hiring and resource planning.

Requirements

Requires at least five years of software engineering experience, including two or more years in a technical lead or management role, with hands-on fluency in AI coding tools and a record of making architectural decisions and maintaining engineering quality. Candidates should have experience developing engineers, communicating with clients and stakeholders, familiarity with AI/ML and MLOps or modern software delivery, and a commitment to responsible AI and inclusive team culture.

Skills

Software Engineering
Technical Leadership
People Management
Software Architecture
AI-Assisted Development
Claude Code
Responsible AI
AI/ML
MLOps
Software Delivery
Quality Assurance
Client Communication
Stakeholder Management
Resource Planning
Hiring

Visa sponsorship

Not detected in the job text

Keywords

Claude Code
AI-Assisted Coding
AI-First Development
Software Engineering
Software Architecture
Technical Direction
Delivery Pod
Project Delivery
AI/ML
MLOps
Responsible AI
Explainable AI
Fairness
Auditability
Quality Assurance
Software Deployment
Cross-Functional Collaboration
Technical Guilds
Frontend
DevOps
People Leadership
Career Development
Performance Management
Client Communication
Stakeholder Management
Solution Architecture
Pre-Sales
Hiring
Resource Allocation
Inclusive Team Culture

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