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Added 13 mins ago
T
Senior Financial Analyst
TD
Toronto, ON
- Full-time
The Senior Finance Analyst role provides meaningful financial support to various teams within the CPB Operations, COO & Digital Transformation businesses.
Added 13 mins ago
T
Group Manager, Specialized Finance
TD
Toronto, ON
- Full-time
…regulatory reporting. This role will report directly to the Senior Group Manager, Specialized…
Added 1 hour ago
TB
Senior IT Internal Controls Auditor
Tilray Brands, Inc.
Toronto, ON
- $70,000 to $85,000 CAD / year
- Full-time
Reporting to the Manager, Internal Audit, the Senior IT Internal Controls Auditor is responsible for supporting the planning and execution of IT audit engagements in alignment with…
Added 1 hour ago
TB
IT Internal Controls Auditor
Tilray Brands, Inc.
Toronto, ON
- $60,000 to $75,000 CAD / year
- Full-time
Reporting to the Manager, Internal Audit, the IT Internal Controls Auditor is responsible for supporting the execution of IT audit engagements in alignment with departmental standards and…
Added 2 hours ago
T
Market Risk Associate - FX (5563)
TD
Toronto, ON
- Full-time
…partnering closely with front office, product control, and risk analytics teams to ensure risks are well‑understood, consistently measured, and transparently communicated. The group…
Added 4 hours ago
J
Senior Business Intelligence Engineer
Jobber
Remote, Canada
- Full-time
- Remote
Reporting to the Manager, Business Intelligence, the Senior Business Intelligence Engineer will champion data literacy, governance, and adoption across the business, leading the design and…
Added 5 hours ago
SE
Manager, MX Sales Platform
Samsung Electronics
Mississauga, ON
- Full-time
The incumbent will focus on developing the Samsung Sell-out Platform for mobile products and the business expansion of Samsung Care+ and Samsung Finance+. This role will also support in…
Added 5 hours ago
B
Digital Marketing Account Manager
BoomerangFX
Mississauga, ON
- $80,000 to $85,000 CAD / year
- Full-time
The Digital Marketing Account Manager is responsible for executing and optimizing digital marketing programs while ensuring a seamless, high-quality customer experience that drives client…
Added 6 hours ago
G
Gestionnaire des contrats / Contract Manager
Genetec
Montreal, QC
- Full-time
Added 6 hours ago
ED
Senior Data Platform Administrator - EN 533
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Reporting to the Manager - Data Management Platforms, the Senior Data Platform Administrator plays a critical role in shaping the technical direction of EDC's data ecosystem while also…
Added 6 hours ago
TS
Vice President, Client Solutions- Global Transaction Banking
TD Securities
Toronto, ON
- Full-time
…relationships, and drive strategic initiatives across the GTB…
Added 6 hours ago
Manager, Business Applications
Novacap
Brossard, QC
As Manager, Business Applications, you will act as Product Owner for Novacap's suite of back-office and middle-office business applications, overseeing platform roadmaps, governance, vendor…
Added 7 hours ago
E
Senior Manager, Campaign Management
eSentire
Canada
- Full-time
eSentire, the Authority in Managed Detection and Response (MDR), protects the critical data and applications of 2000+ organizations in 80+ countries across 35 industries from known and…
Added 7 hours ago
T
Information Security Specialist - Issue Management Governance and Reporting
TD
Toronto, ON
- Full-time
Skill in using analytical software tools, data analysis methods and reporting techniques
Added 7 hours ago
T
Vice President, Client Solutions- Global Transaction Banking
TD
Toronto, ON
- Full-time
…relationships, and drive strategic initiatives across the GTB…
Added 7 hours ago
T
Senior Business Support Analyst
TD
Toronto, ON
- Full-time
A dedicated Senior Business Support Analyst is required to drive business operational readiness across the Cloud Data Platform. This role will be accountable for modernizing Cloud Data…
Added 7 hours ago
T
Vice President, Distribution, Life and Health - TD Insurance
TD
Toronto, ON
- Full-time
Partner across Product, Journey, Marketing, Technology, Data and Analytics, Finance, PMO and distribution channels to deliver enterprise and TD Insurance priorities.
Added 7 hours ago
V
Senior Software Development Manager, Verily Intelligence
Verily
Waterloo, ON
- Full-time
As a Senior Software Development Manager in Verily Intelligence, you will lead the AI Development organization: the teams that build the infrastructure and tooling for self-service,…
Added 7 hours ago
Senior Manager, Campaign Marketing
eSentire
Canada
eSentire, the Authority in Managed Detection and Response (MDR), protects the critical data and applications of 2000+ organizations in 80+ countries across 35 industries from known and…
Added 8 hours ago
CL
IT - Business Systems Analyst
Cosmetica Laboratories Inc
Toronto, ON · Scarborough, ON
- $80,000 to $120,000 CAD / year
- Full-time
Reporting to the Senior Manager, Business Systems - IT, the Business Systems & Automation Analyst supports the improvement, reliability, and continuous development of the company's IT…
Added 8 hours ago
G
Gestionnaire des contrats / Contract Manager
Genetec
Remote, Canada
- Full-time
- Remote
Added 8 hours ago
ED
Senior Data Platform Administrator - EN 533
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Reporting to the Manager - Data Management Platforms, the Senior Data Platform Administrator plays a critical role in shaping the technical direction of EDC’s data ecosystem while also…
Added 8 hours ago
R
RCI-ROCG-43306 Technical Product Manager (Computer Vision/AI/ML/Image Analysis) (Healthcare/Medical Device/Digital Health/Life Science)
Rangam
Mississauga, ON
- $64 to $66 CAD / hour
- Contract
…Digital Pathology algorithms that will be deployed on the Client…
Added 8 hours ago
W
IT - Business Systems Analyst
Westerkirk
Toronto, ON
- $80,000 to $120,000 CAD / year
Reporting to the Senior Manager, Business Systems - IT, the Business Systems & Automation Analyst supports the improvement, reliability, and continuous development of the company's IT…
Added 9 hours ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…translate NIST AI RMF and enterprise requirements into practical platform controls, reusable patterns, automated guardrails, and governance evidence across the AI…

Direct IT Recruiting Inc.

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

Toronto, ON, Canada

$90 to $100 CAD / hour · Contract

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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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