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Added 53 mins ago
V
Senior Software Engineer
Voices
ON · Ontario, Canada
- Full-time
As a Senior Software Engineer, you’ll join a high-performing development organization working in cross-functional teams to design, build, and evolve modern full-stack systems that power…
Added 2 hours ago
S
Performance Test Engineer Intern (January 2027 12 Months)
SOTI
Mississauga, ON
- Full-time
Job Title: Performance Test Engineer (Intern)
Added 2 hours ago
DC
Job Template - Coby
Dillon Consulting Limited
Kingston, ON · Ottawa, ON
- Full-time
…opportunity to help build one. Working across Dillon’s Building Infrastructure Practice, Dillon Architecture Limited, FBM Architecture Limited, and David Nairne & Associates, the successful…
Added 3 hours ago
CD
Machine Learning Engineer, VLA & RL - Senior
cyberwave digital agency
Zurich, ON
- Full-time
Cyberwave is building the infrastructure layer for intelligent machines - making robotics as accessible, scalable, and programmable as cloud software. Our platform connects simulation,…
Added 6 hours ago
SA
Senior Application Support Engineer (Trading & Market Data) - Toronto
Solactive AG
Toronto, ON
- Full-time
Partner with development, infrastructure, and business teams to maintain platform stability.
Added 9 hours ago
ES
Lead AI Engineer - TCO Agent Platform
EPAM Systems
Canada
- Full-time
Reporting directly to the Technical Product Manager, you will collaborate closely with Solution, Platform, and Enterprise Architects. You will also have a Senior Software Engineer under…
Added 9 hours ago
ES
Senior Software Test Automation Engineer (Java)
EPAM Systems
Canada
- Full-time
…team from manual to automated testing at scale. Join EPAM to engineer solutions that matter. From AI to cloud transformation, you'll collaborate with top-tier innovators, gain autonomy to…
Added 9 hours ago
ES
Senior AI/ML Delivery Manager
EPAM Systems
Toronto, ON
- Full-time
Own Platform & Governance: Own shared AI infrastructure and tooling standardization, ensuring human-in-the-loop controls, auditability, and traceability
Added 10 hours ago
New Grad Program - Telecom (Electrical Engineering) - Toronto - June 2027
Hydro One Networks Inc
Toronto, ON
Prepare final designs, based on receipt of technical information, along with sketches and instructions and forward to senior design engineers for general review and passing on to drawing…
Added 12 hours ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Senior level: 5–8 years of progressive experience; Expert level: 10+ years in cloud platform engineering, hybrid-cloud architecture, data engineering, or MLOps.
Added 14 hours ago
S
AI Software Engineer
Snowflake
Remote, Canada
- $176,300 to $226,300 CAD / year
- Full-time
- Remote
We're looking for a Software Engineer - AI to join our growing Toronto engineering team. You'll design, build, and ship AI-powered systems and services that are used by thousands of…
Added 17 hours ago
M
Lead Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Lead Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of our…
Added 19 hours ago
W
Software Engineer or Senior Software Engineer - Data Hub
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Basic Qualifications (Senior Software Engineer):
Added 23 hours ago
ES
Senior ServiceNow Architect
EPAM Systems
Canada
- Full-time
…design, implementation, and scaling of our enterprise ServiceNow platform. In this role, you will bridge the gap between business strategy and technical execution, defining the…
Added 1 day ago
OI
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation…
Added 1 day ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
We are looking for a Lead Software Engineer (7+ years of experience) to join a high-caliber product team building a next-generation AI-powered financial assistant platform. In this role,…
Added 1 day ago
K
Senior Software Engineer, Payments
Kindsight
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
We are seeking a Senior Software Engineer, Payments to join a newly forming Payments Engineering team and take meaningful ownership of Kindsight's next-generation Payments Platform.
Added 1 day ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 1 day ago
X
Senior Network Engineer
Xanadu
Toronto, ON
- Full-time
As a Senior Network Engineer, you will own, secure, and modernize our enterprise network infrastructure across a multi-vendor environment. In this role, you will bridge core network…
Added 1 day ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
…high-visibility role offers opportunities to deepen your retail-platform expertise and develop your leadership while contributing to a major digital…
Added 2 days ago
ES
Delivery Manager / Senior Delivery Manager for Financial Services
EPAM Systems
Toronto, ON
- Full-time
We are seeking a Delivery Manager / Senior Delivery Manager to lead project delivery for our clients in the financial services sector, overseeing multiple Scrum teams and ensuring…
Added 2 days ago
S
Senior Project Manager – Conventional Signaling
SYSTRA
Toronto, ON
- $170,000 to $220,000 CAD / year
- Full-time
…a new railway line, increasing the capacity of the existing infrastructure, privatization of a…
Added 2 days ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
…products and applies AI across the whole product lifecycle. As a Senior Product Manager | Applied AI, you will own the vision, strategy, roadmap and delivery of one or more products - at…
Added 2 days ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
We are looking for a senior-level Infrastructure Engineer with deep expertise in Azure Cloud architecture and production-grade Terraform development. You will own the creation,…
Added 2 days ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
The team builds and operates the tooling and automation needed to support production at scale. This includes infrastructure-as-code, deployment pipelines, and platform-level automation…

Akkodis

Senior AI Platform Engineer (MLOps)

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 4, 2026
Experience: 5+ years of experience in MLOps, Machine Learning Engineering, AI Platform Engineering, Cloud Engineering, or related technical disciplines
Posting language: English
Posted: Oct 5, 2026

Original job description

Title: Senior AI Platform Engineer

Position Type: Contract

Duration: 12-Month Contract (Potential Extension)

Client Location: Toronto, Ontario

Work Model: Hybrid (Downtown Toronto - 3 days in office)

Engagement Model: Professional Services Engagement – B2B (Incorporated Consultants Preferred)

About the Engagement

Akkodis is partnering with a leading institutional investment and pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and operationalization of enterprise AI capabilities.

This is a highly technical, hands-on engineering role focused on building, deploying, governing, and operating machine learning and AI platforms at enterprise scale. The successful candidate will work closely with AI Governance, Cybersecurity, Enterprise Architecture, Platform Engineering, and AI Centre of Excellence teams to implement responsible AI controls, operationalize machine learning models, and establish scalable AI deployment standards.

While the role supports AI governance and responsible AI initiatives, the primary focus is technical implementation. The client is seeking a strong engineering professional with deep MLOps, machine learning operationalization, cloud engineering, and Python development experience who can translate governance requirements into automated controls, deployment processes, and platform capabilities.

This opportunity is ideal for someone who enjoys solving complex technical problems, building enterprise-grade AI capabilities, and working across infrastructure, machine learning, security, and platform engineering domains.

Services to be Provided:

Design, build, and maintain enterprise MLOps and LLMOps capabilities supporting AI and machine learning solutions
Develop and automate model deployment, monitoring, evaluation, governance, and lifecycle management processes
Build CI/CD pipelines and Infrastructure as Code solutions supporting AI and machine learning environments
Implement model governance, auditability, approval workflows, and operational controls within production AI platforms
Support implementation of responsible AI and AI governance requirements through technical controls and automation
Develop and maintain model tracking, lineage, experiment management, and reproducibility capabilities
Implement and enhance MLflow, Databricks, evaluation frameworks, and related platform services
Collaborate with Cybersecurity, Enterprise Architecture, and AI Governance teams to operationalize enterprise requirements
Build and support AI deployment patterns for machine learning, RAG, and generative AI solutions
Troubleshoot, debug, and resolve platform, deployment, performance, and operational issues
Create technical documentation, implementation standards, operational procedures, and support guides
Support platform reliability, observability, monitoring, incident management, and recovery processes
Implement cloud cost monitoring, optimization, and consumption management practices
Provide technical guidance and enablement to teams adopting enterprise AI capabilities
Communicate technical solutions and implementation outcomes to both technical and senior business stakeholders

Expertise Required

5+ years of experience in MLOps, Machine Learning Engineering, AI Platform Engineering, Cloud Engineering, or related technical disciplines
Strong hands-on Python development experience
Proven experience operationalizing machine learning models in enterprise production environments
Experience designing and supporting model lifecycle management, deployment, monitoring, and governance processes
Strong understanding of MLOps best practices, CI/CD, automation, testing, and software engineering principles
Experience with Databricks, MLflow, or comparable machine learning platform technologies
Experience working with cloud platforms such as Azure, AWS, or Google Cloud
Experience with Infrastructure as Code methodologies and tooling
Hands-on experience with Terraform and modern deployment automation practices
Experience with GitHub Actions, Jenkins, Azure DevOps, or similar CI/CD technologies
Experience troubleshooting complex distributed systems and production environments
Strong understanding of machine learning model operationalization, evaluation, and observability
Experience implementing secure deployment and access control patterns within cloud or AI environments
Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Proven ability to operate independently and deliver within fast-paced and evolving environments

How to Apply

If you are interested in learning more, don't hesitate to apply today or check out Akkodis Canada website for more opportunities.

Important

This is a business-to-business engagement. Candidates must represent an incorporated entity, hold a valid business number, maintain appropriate insurance, and invoice for services rendered.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions.

Accessibility:

At Akkodis, part of The Adecco Group, our purpose is simple: to make the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

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More about this job

Responsibilities

Design, build, and operate enterprise MLOps and LLMOps capabilities, including automated deployment, monitoring, evaluation, governance, and lifecycle management for machine learning and generative AI solutions. Implement secure, reliable, and cost-aware platform processes and controls, and collaborate with governance, cybersecurity, architecture, and engineering teams to establish standards and support adoption.

Requirements

Requires at least five years of relevant MLOps, machine learning engineering, AI platform, or cloud engineering experience, strong Python skills, and experience operationalizing models in enterprise production environments. Candidates should have hands-on experience with platforms such as Databricks or MLflow, cloud services, Terraform and Infrastructure as Code, CI/CD, model lifecycle processes, and production troubleshooting.

Skills

Python
MLOps
LLMOps
Machine Learning
Databricks
MLflow
Cloud Engineering
Terraform
Infrastructure As Code
CI/CD
Model Deployment
Model Monitoring
Model Governance
Generative AI
Retrieval-Augmented Generation
Observability

Visa sponsorship

Not detected in the job text

Keywords

MLOps
LLMOps
Python
Machine Learning
AI Platform Engineering
Databricks
MLflow
Azure
AWS
Google Cloud
Terraform
Infrastructure As Code
CI/CD
GitHub Actions
Jenkins
Azure DevOps
Model Deployment
Model Lifecycle Management
Model Monitoring
Model Evaluation
Model Governance
Experiment Management
Model Lineage
Responsible AI
Generative AI
Retrieval-Augmented Generation
Cloud Engineering
Observability
Access Control
Cost Optimization

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