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Added 7 mins ago
TR
AI Product Security Manager
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
As a Product Security Manager, you will lead a team of senior security engineers within Thomson Reuters' Product Security function. You will help engineering teams across a diverse product…
Added 7 mins ago
T
Senior Mongo DBA
TD
Toronto, ON · Mississauga, ON
- Full-time
The Senior Mongo Database Administrator is responsible for operational support, maintenance, and optimization of enterprise database platforms including Microsoft SQL Server and MongoDB.…
Added 7 mins ago
T
Senior Market Risk Analyst (5375)
TD
Toronto, ON
- Full-time
We are seeking an experienced and highly skilled Senior Market Risk Analyst to join our dynamic Market Risk Management team. The successful candidate will play a pivotal role in assessing,…
Added 7 mins ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
…that will be used by Risk Analysts, Front Office Traders, and Senior…
Added 8 mins ago
O
Senior Project Manager
OnX
Toronto, ON
- Full-time
Currently we are seeking a Project Manager to drive client-based Professional Services engagements within our Cloud, Data & AI group - including cloud migration and modernization, data…
Added 24 mins ago
GD
Program Manager, International TacCIS
General Dynamics Missions System International
Calgary, AB
- $130,000 to $165,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 24 mins ago
GD
Program Manager, International TacCIS
General Dynamics Missions System International
Ottawa, ON · Calgary, Alberta
- $130,000 to $165,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 36 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 39 mins ago
V
Senior Quality Management System (QMS) Quality Engineer
VitalBio
Oakville, ON
- Full-time
The Senior Quality Management System (QMS) Quality Engineer is a technical leader responsible for maintaining, improving, and ensuring the effectiveness of the Company's Quality Management…
Added 51 mins ago
CN
Manager, Innovation and Commercialization
Canadian Nuclear Laboratories
Chalk River, ON
- Full-time
…you answered yes, our Chalk River location is looking for a Manager, Innovation and Commercialization to lead and execute strategic commercial initiatives that turn novel ideas into impact.…
Added 53 mins ago
JI
Project Manager, Performance
J.D. Irving, Limited
Dartmouth, NS
- Full-time
The Project Manager serves as the primary point of programmatic performance within the Programs’ team, ensuring compliance with cost, schedule, and/or scope. This role supports the River…
Added 53 mins ago
IN
Senior Hydrogeologist/Groundwater Modeler (CAN)
ITASCA North America
Remote, Canada
- $145,000 to $180,000 CAD / year
- Full-time
- Remote
As a Senior Hydrogeologist/Groundwater Modeler, you will help translate field data, conceptual models, numerical simulations, and project constraints into clear technical insight. Your work…
Added 1 hour ago
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Technical Program Manager
E-Solutions
Vancouver, BC
- Full-time
…standardization, and cross-functional initiatives involving Engineering, Product, Data Science, and business…
Added 1 hour ago
GD
Program Manager, International TacCIS
General Dynamics Mission Systems–Canada
Ottawa, ON
- $130,000 to $165,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 1 hour ago
GD
Program Manager, International TacCIS
General Dynamics Mission Systems–Canada
Calgary, AB
- $130,000 to $165,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 1 hour ago
Buyer
Dumas
Timmins, ON
…full-scale mine development, production mining, mine services and…
Added 1 hour ago
J
Senior Project Manager
JLL
Edmonton, AB · Calgary, AB
- Full-time
JLL is currently seeking a dynamic individual for the role of Senior Project Manager in either Calgary or Edmonton to provide reliable, timely, and professional support to the Western…
Added 1 hour ago
Security Technology Analyst
University of Toronto
Toronto, ON
…and AI tools to protect Temerty Faculty of Medicine systems, data, teaching, research, and administrative activities. Working closely with the Manager, Information Security, you will…
Added 1 hour ago
T
Segment Risk Specialist – Technology and Cyber Risk Management (ATH 5304)
TD
Toronto, ON
- Full-time
Senior specialist providing advisory services to executives, business segment leaders, and governs requirements for own work.
Added 1 hour ago
GC
Senior CADD/Drafting Tech
Geosyntec Consultants
Ottawa, ON
- Full-time
Geosyntec has an exciting opportunity for a Senior CAD Drafting Technician (Civil 3D) to support project needs in our Canadian Operations with offices in Cambridge, ON, Toronto, ON, Guelph,…
Added 1 hour ago
GC
Senior CADD/Drafting Tech
Geosyntec Consultants
Toronto, ON
- Full-time
Geosyntec has an exciting opportunity for a Senior CAD Drafting Technician (Civil 3D) to support project needs in our Canadian Operations with offices in Cambridge, ON, Toronto, ON, Guelph,…
Added 1 hour ago
T
Senior Mongo DBA
TD
Mississauga, ON
- Full-time
The Senior Mongo Database Administrator is responsible for operational support, maintenance, and optimization of enterprise database platforms including Microsoft SQL Server and MongoDB.…
Added 1 hour ago
GC
Senior CADD/Drafting Tech
Geosyntec Consultants
Waterloo, ON
- Full-time
Geosyntec has an exciting opportunity for a Senior CAD Drafting Technician (Civil 3D) to support project needs in our Canadian Operations with offices in Cambridge, ON, Toronto, ON, Guelph,…
Added 1 hour ago
LT
Account Manager
Longterm Technology Services
London, ON
- Full-time
…articulate how our solutions for product design, simulation, and data management can create tangible business…
Added 1 hour ago
FB
Sr. System Administrator
FGF Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Reporting to the Manager, IT Infrastructure, the Senior Systems Administrator will be responsible for the configuration, implementation, and maintenance of computer technologies maintained…

Direct IT Recruiting Inc.

MLOps Engineer – Databricks (1896) $90-100hr

Toronto, ON, Canada

$90 to $100 CAD / hour · Contract

Apply About employer

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Job details

Pay: $90 to $100 CAD / hour
Job type: Contract
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

Location: Toronto, Ontario (Hybrid – 3 days/week onsite)

Contract Duration: 14 months, 40-hour work week

Skills: Python, MLOps, LLMOps, Azure Databricks, NIST AI RMF, MLFlow, RAG, AI governance, GitHub Actions, Terraform, Jenkins

Rate: $90-100/hr

Industry: Bank

DESCRIPTION

Applied Intelligence is scaling enterprise AI across Microsoft Foundry, Databricks, Copilot Studio, and a mixed model estate spanning Anthropic, Azure OpenAI, other frontier models, and open source models.

This hands-on engineering role partners with AI Governance and Risk to translate NIST AI RMF and enterprise requirements into practical platform controls, reusable patterns, automated guardrails, and governance evidence across the AI lifecycle.

You'll join the Applied Intelligence Platforms team and work closely with Platform Engineering, Data Engineering, Enterprise Architecture, Privacy, Enterprise Security, AI Governance and Risk, and the AI Centre of Excellence. You will report to the Senior Manager, Applied Intelligence Platforms.

Apply safe deployment practices including automated builds, artifact versioning, deployment gates, and rollback strategies such as blue/green, canary, and shadow, avoiding manual production changes.
Develop operational runbooks, support procedures, incident response guidance, and recovery processes.

Responsible AI, Privacy and Governance Enablement

Partner with AI Governance, Privacy, Information Security, and the AI Centre of Excellence to translate enterprise requirements into practical implementation patterns.
Implement technical guardrails supporting responsible AI outcomes, including content safety, grounding, human-in-the-loop checkpoints, and auditability.
Apply secure AI implementation patterns aligned with OWASP guidance for LLM and agentic systems, mitigating risks such as prompt injection, insecure tool usage, model exfiltration, and data leakage.
Implement authentication and authorization flows using OAuth2 and OIDC so AI agents and services inherit appropriate user context and role-based access.
Implement privacy-supporting controls in AI solutions, such as data minimization, access scoping, retention alignment, and handling of sensitive data in prompts, logs, and retrieval sources.

AI delivery model

Define and operationalize the AI delivery model, including reusable implementation patterns, reference solutions, and engineering standards for RAG, agentic, and machine learning solutions.
Select and integrate models across the estate based on suitability, performance, and cost.
Partner with delivery teams to accelerate build and support production readiness.

MLOps, LLMOps and evaluation

Build and maintain pipelines covering development, evaluation, deployment, monitoring, and model lifecycle management.
Establish evaluation frameworks with measurable quality criteria, behavioural regression testing, and continuous evaluation of probabilistic systems.
Implement lineage, experiment tracking, and reproducibility using tools such as MLflow.

AI governance technical implementation

Translate NIST AI RMF and enterprise AI governance requirements into technical controls across Govern, Map, Measure, and Manage.
Implement reusable guardrails through platform configuration, CI/CD/IaC, evaluation gates, access controls, policy enforcement, and OWASP-aligned secure AI patterns.
Establish traceable governance evidence for models, agents, deployments, evaluations, approvals, and human-in-the-loop controls.
Partner with AI Governance and Risk to validate control effectiveness and escalate policy, privacy, security, and risk-acceptance decisions to accountable teams.

Operations, reliability and cost

Own the reliability, observability, and production support of enterprise AI services.
Own cost tracking, attribution, and optimization, treating cost as a measurable engineering metric.
Apply safe deployment practices and maintain runbooks, incident response, and recovery processes.
Enablement
Onboard teams onto approved AI platforms and patterns, and provide technical mentorship, documentation, and reusable assets.

Decision making

Independent analysis approach based on business context

What you'll need:

Qualifications:

Has shipped and supported production systems, and designs for failure.
Has debugged performance or latency issues in distributed systems.
Writes modular, testable code and favours automation over manual intervention.
Defines measurable success criteria before building, and can test systems where outputs vary.
Treats cost as a measurable engineering metric.
Bachelor's degree in a related technical field, or equivalent practical experience.

Knowledge:

Generative AI, LLMs, RAG, agentic systems, and enterprise AI application patterns.
Microsoft Foundry, Databricks/Unity Catalog/MLflow, Copilot Studio, AI Gateway/model access patterns, and mixed-model tradeoffs.
MLOps/LLMOps, CI/CD, Infrastructure as Code, evaluation, observability, and cloud-native engineering.
NIST AI Risk Management Framework (Govern, Map, Measure, Manage) and translation into engineering controls.
Responsible AI, human-in-the-loop design, auditability, privacy, IP, security, bias, and model misuse risks.
Cloud fundamentals, distributed systems and API design, observability, and data literacy.
Cloud cost management, consumption tracking, and cost attribution.
Proficiency in Python.

REQUIREMENTS

Hands-on Python coding, AI, machine learning, platform, or cloud engineering.
Hands-on experience building and operating production AI or machine learning solutions.
Experience implementing RAG and agent-based solutions.
Experience implementing MLOps and LLMOps capabilities end-to-end.
Experience implementing automated AI governance controls or evidence, ideally mapped to NIST AI RMF or another recognized framework.
Experience owning cost tracking and optimization of cloud or AI workloads.
Experience in a regulated environment is an asset.
Experience collaborating with Enterprise Architecture, Platform Engineering, Privacy, Security, and Governance teams in a large organization.
Experience in financial services, pension, asset management, or another regulated environment is an asset.

NOTE: As part of our hiring process, we use AI-based systems to support the initial screening of applicants.

To Apply: https://directitrecruiting.com/job/mlops-eng-databricks-1896/

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More about this job

Responsibilities

Build and operate production AI and machine learning platforms, pipelines, evaluation frameworks, and deployment controls, including reusable patterns for RAG and agentic systems. Implement governance, privacy, security, reliability, observability, and cost controls across the AI lifecycle, while supporting teams with onboarding, documentation, and technical mentorship.

Requirements

Candidates need hands-on Python experience and a track record building and supporting production AI or machine learning solutions, including RAG, agent-based systems, and end-to-end MLOps/LLMOps. They should be experienced with automated governance controls, cloud cost optimization, and cross-functional work in large organizations; regulated-industry experience is an asset, and a related bachelor's degree or equivalent practical experience is accepted.

Skills

Python
MLOps
LLMOps
Azure Databricks
NIST AI Risk Management Framework
MLflow
Retrieval-Augmented Generation
AI Governance
GitHub Actions
Terraform
Jenkins
Responsible AI
CI/CD
Infrastructure as Code
OAuth2
OIDC

Visa sponsorship

Not detected in the job text

Keywords

Python
MLOps
LLMOps
Azure Databricks
Microsoft Foundry
Copilot Studio
MLflow
Unity Catalog
NIST AI Risk Management Framework
Retrieval-Augmented Generation
Agentic Systems
Generative AI
Large Language Models
AI Governance
Responsible AI
GitHub Actions
Terraform
Jenkins
CI/CD
Infrastructure as Code
OAuth2
OIDC
Model Evaluation
Observability
Cloud Cost Management
Human-in-the-Loop
Privacy
OWASP
Distributed Systems
Financial Services

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