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Added 4 mins ago
FS
Embedded Software Designer
Fidus Systems
Kitchener, ON
- Full-time
The Senior Embedded Software Designer plays a key role in designing and delivering complex embedded software systems for Fidus clients. You will lead and contribute to embedded software…
Added 4 mins ago
MI
Senior Technical Recruiter
Mercury Insurance
Toronto, ON · Greater Toronto Area, Canada
- Contract
Under minimum direction, the Senior Technical Recruiter manages full life cycle recruiting activities to attract and hire exceptional technical talent. This role will recruit mid-senior…
Added 5 mins ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 5 mins ago
E
Full Stack Software Developer
EPITEC
Ottawa, ON
- Contract
The developer will receive technical direction from senior engineers and architects while progressively taking ownership of well-defined platform components and features.
Added 5 mins ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
This is a hands-on architecture and technical leadership role for someone who can bridge solution architecture and software engineering. The successful candidate will work closely with…
Added 5 mins ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
BDO Digital’s Vancouver office is looking for a Senior Manager to join our Data & AI Consulting Practice team and own the following responsibilities:
Added 5 mins ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
…agentic AI safely reason about and act on enterprise data. As a Senior AI Software Engineer on the Data Fabric team, you will design and implement execution patterns, tool-calling…
Added 5 mins ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 5 mins ago
F
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
- Full-time
We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams…
Added 7 mins ago
SF
Associate Director, Data Engineer
SickKids Foundation
Toronto, ON
- Full-time
As a senior hands-on technical contributor, you will set engineering standards, support platform incident response, enable self-serve analytics and AI-powered data products, and provide…
Added 7 mins ago
Developer Advocate
Asana
Vancouver, BC
Proven track record as a Developer Advocate, Developer Relations Engineer, or Senior Software Engineer with substantial experience building developer community programs.
Added 7 mins ago
Senior AI Engineer
Guidepoint
Toronto, ON
6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestration, RAG/grounding, structured outputs, eval-driven iteration.
Added 7 mins ago
Legal Counsel
Geotab
Toronto, ON
Ability to think strategically and work collaboratively with senior management to pursue opportunities and negotiate transactions. Works actively with business partners and outside counsel…
Added 18 mins ago
FS
Embedded Software Designer
Fidus Systems
Ottawa, ON
- Full-time
The Senior Embedded Software Designer plays a key role in designing and delivering complex embedded software systems for Fidus clients. You will lead and contribute to embedded software…
Added 18 mins ago
CI
Senior R&D Java Developer
Calian in Space & Technology
Montreal, QC
- Contract
To provide technical leadership to our development team. Senior developer, with a product development background. This is R&D on a live product, not IT application delivery.
Added 18 mins ago
CG
Senior R&D Java Developer
Calian Group
Montreal, QC
- Full-time
To provide technical leadership to our development team. Senior developer, with a product development background. This is R&D on a live product, not IT application delivery.
Added 18 mins ago
FS
Embedded Software Designer
Fidus Systems
Toronto, ON
- Full-time
The Senior Embedded Software Designer plays a key role in designing and delivering complex embedded software systems for Fidus clients. You will lead and contribute to embedded software…
Added 18 mins ago
FS
Embedded Software Designer
Fidus Systems
Montreal, QC
- Full-time
The Senior Embedded Software Designer plays a key role in designing and delivering complex embedded software systems for Fidus clients. You will lead and contribute to embedded software…
Added 18 mins ago
V
VP, Product & Engineering
Venor
NB · New Brunswick, Canada
- Full-time
You’ll partner closely with leaders across the organization to work through cross-functional trade-offs and make sure product priorities turn into high-quality, reliable software.
Added 21 mins ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 21 mins ago
PC
Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
PwC Canada
Vancouver, BC
- Full-time
…you'll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions that power our advisory capabilities,…
Added 21 mins ago
UW
Manager, Research and Evaluation (Data Specialist)
United Way Greater Toronto
Toronto, ON
- Full-time
Reporting to the Senior Manager, Research & Evaluation (Data Specialist) the Manager, Research and Evaluation (Data Specialist) will conduct and support systems change research projects,…
Added 21 mins ago
G
Technician, Mining
Glencore
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 49 mins ago
ED
Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Senior Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience plus a performance-based incentive of 15%
Added 49 mins ago
R&
Developer - Full Stack – Senior
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Software Developer - Full Stack – Senior to join our client in support of an existing vacancy.

Akkodis

Senior AI Platform Engineer (MLOps)

Toronto, ON, Canada

Contract

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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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