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Added 1 hour ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
…architecture initiatives, establish best practices, and drive automation across cloud…
Added 2 hours ago
AI
Kubernetes Engineer
Aptino, Inc.
Canada
- Contract
CI/CD, monitoring & infrastructure automation
Added 2 hours ago
B
Software Engineer- Inference Platform
Baseten
Montreal, QC
- $180,000 to $360,000 USD / year
- Full-time
…Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models…
Added 4 hours ago
D
Devsecops Engineer
Deel
Canada
- Full-time
We are currently seeking a DevSecOps Engineer to join our team. If you have a passion for automation, security, and infrastructure, we invite you to apply for this exciting opportunity. As…
Added 5 hours ago
Senior Instrumentation & Controls Engineer - Industrial Sector
Kiewit
Calgary, AB
…engineers who thrive in EPC environments and want to shape the automation, control, and instrumentation strategies behind some of the most complex industrial facilities in the…
Added 5 hours ago
P
Sr. Fuil Stack Engineer, Threat Intelligence
Proofpoint
ON · Ontario, Canada
- Full-time
…with additional responsibility for database management and infrastructure as needed to support the team's…
Added 5 hours ago
P
Sr. Fuil Stack Engineer, Threat Intelligence
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Quebec, QC
- Full-time
…with additional responsibility for database management and infrastructure as needed to support the team's…
Added 5 hours ago
AI
JAMS Platform Engineer
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Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 5 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails…
Added 6 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 6 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails…
Added 7 hours ago
TS
Azure Architect
TECONICA SOFTWARES
Toronto, ON
- Contract
The ideal candidate will have strong expertise across the Microsoft Azure ecosystem, Infrastructure as Code, CI/CD, cloud automation, and platform engineering. The engineer will be…
Added 7 hours ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
…pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and operationalization of enterprise AI…
Added 7 hours ago
TC
ITSM Transition Anayst, Network Junior Engineer Jr
Tata Consultancy Services
Toronto, ON
- Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…
Added 8 hours ago
ML
IT Security Consultant
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Mississauga, ON
- $96,000 to $141,000 CAD / year
- Full-time
Leading tools and systems in our modern infrastructure and data-driven culture in expanding automation and controls plants.
Added 9 hours ago
Senior or Staff Software Engineer, Backend
League Inc.
Canada
As a Senior or Staff Software Engineer, Backend on our Product Engineering team, you bring deep technical expertise to the design and delivery of the foundational services and developer…
Added 9 hours ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a Senior Applied Intelligence Platform Engineer to join our dynamic team and work with one of client.
Added 10 hours ago
BS
GCP Cloud Engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
GCP Infrastructure & Cloud SRE Engineer - • GCP Professional Cloud Architect/DevOps Engineer certification.• Banking/Financial Services domain experience.Key responsibilities• Build and…
Added 11 hours ago
SL
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Sr. Analytics and Automation Engineer - Focus on Micro segmentation Policy-as-a-Code.
Added 13 hours ago
AI
Site Reliability Engineer – Adobe Experience Manager (AEM)
Aptino, Inc.
ON · Ontario, Canada
- Contract
Hiring: Site Reliability Engineer – Adobe Experience Manager (AEM)
Added 13 hours ago
V
Senior DevOps Engineer
VXG
Toronto, ON
- Full-time
VXG is seeking an experienced DevOps Engineer to join our team and help build reliable, automated, and scalable infrastructure for our cutting-edge video software platform. You will play a…
Added 13 hours ago
XI
Senior Data Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities…
Added 13 hours ago
C
AI Product Scaling Director
CIBC
Toronto, ON
- Full-time
Advance AI quality and reliability - Create automated testing, evaluation, regression, monitoring, and observability patterns that support both traditional software quality and the unique…
Added 14 hours ago
J
DevOps Engineer, New Grad
Jobright.ai
Canada
- Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 18 hours ago
A
Principal Network Engineer
Aviso
Vancouver, BC
- $135,000 to $145,000 CAD / year
- Full-time
Reporting to the Director, Infrastructure Operations, the Principal Network Engineer is responsible for designing, implementing, and providing technical leadership for modern network…

Akkodis

Senior AI Platform Engineer (MLOps)

Toronto, ON, Canada

Contract

Apply About employer

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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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