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Added 59 mins ago
SM
Business Analyst – Senior - RQ11545
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Business Analyst to work as part of the Project Management & Program Delivery project team. The successful candidate will collaborate with the core project team,…
Added 59 mins ago
SM
Business Analyst – Senior - RQ11545
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Business Analyst to work as part of the Project Management & Program Delivery project team. The successful candidate will collaborate with the core project team,…
Added 59 mins ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 59 mins ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 59 mins ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 59 mins ago
SM
Business Analyst – Senior - RQ11545
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Business Analyst to work as part of the Project Management & Program Delivery project team. The successful candidate will collaborate with the core project team,…
Added 59 mins ago
A
Executive Assistant - Head Office
AutoCanada
AB · Edmonton, AB
- Full-time
…organized, proactive professional who thrives on supporting senior leadership while keeping day-to-day operations running…
Added 1 hour ago
TR
Principal Product Manager, Content Transformation
Thomson Reuters
Toronto, ON
- Full-time
Principal Product Manager, Content Transformation (Direct Tax AI)
Added 1 hour ago
RB
Chief Investment Strategist (RBC PH&N IC)
Royal Bank of Canada
Toronto, ON
- Full-time
Lead the content creation and communication of timely investment-related publications and video-recordings to Investment Counsellors and clients.
Added 1 hour ago
S
Gestionnaire principal·e, Opérations numériques // Senior Manager, Digital Operations
SSENSE
Montreal, QC
- Full-time
Added 2 hours ago
GC
Marketing & Proposal Specialist
Geosyntec Consultants
Ottawa, ON
- Full-time
Geosyntec has an exciting opportunity for a Senior Marketing and Proposal Specialist in our Toronto, ON, Ottawa, ON, Waterloo, ON, Cambridge, ON, Guelph, ON, or Burnaby, BC office. A hybrid…
Added 3 hours ago
C
Senior Manager, IT/Telecom Engineering (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
…one of the largest private networks, which distributes its content and services across the country. CBC/Radio-Canada is looking for a technical senior manager, project oriented, to join our…
Added 3 hours ago
TE
Marketing Manager
THE EMPIRE LIFE INS. CO
Toronto, ON · Kingston, ON
- Full-time
- Contract
Utilize digital marketing tools and technologies to develop and deliver marketing campaigns and content, including leveraging social networking to achieve business results
Added 3 hours ago
AI
Executive Assistant - Head Office
AutoCanada Inc.
Edmonton, AB
- Full-time
…organized, proactive professional who thrives on supporting senior leadership while keeping day-to-day operations running…
Added 4 hours ago
JS
Business Development Associate
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
You will work closely with senior M&A leadership to target attractive verticals, execute sourcing plans and qualify deals that align with our investment criteria. This position requires a…
Added 4 hours ago
CS
Manager, Marketing
Canucks Sports & Entertainment (CSE)
Vancouver, BC
- Full-time
Liaise with the Content and Design teams to develop marketing collateral aligned to campaign goals and overall brand standards
Added 4 hours ago
CC
Director, Communications and Engagement – Redevelopment Projects
Canadian College of Health Leaders - Northwestern Ontario Chapter
Brantford, ON
- Full-time
Added 4 hours ago
LI
Communications Manager
LanceSoft, Inc.
Montreal, QC
- Contract
Draft and edit executive communications for CDRR senior leaders - organizational announcements, leadership memos, and sensitive or high-visibility messaging - partnering with Chiefs of…
Added 4 hours ago
FO
Data Advisor
Federation of Canadian Municipalities
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
Support colleagues with development and/or production of French content related to program design and operations, as needed.
Added 4 hours ago
WB
Senior Content Copywriter | Health & Wellness Space | Hybrid in North York | $55-65k + Bonus
White Bay
Toronto, ON · North York, ON
- $55,000 to $65,000 CAD / year
- Full-time
A growing and innovative natural health organization is seeking a talented Senior Content Copywriter to join its in-house creative team. The organization is committed to making natural…
Added 4 hours ago
WB
Senior Graphic Designer | Health & Wellness Space | Hybrid in North York | $55-65k + Bonus
White Bay
Toronto, ON · North York, ON
- $55,000 to $65,000 CAD / year
- Full-time
A growing and innovative natural health organization is seeking a talented Senior Graphic Designer to join its in-house creative team. The organization is committed to making natural health…
Added 4 hours ago
R
Chief Investment Strategist (RBC PH&N IC)
RBC
Toronto, ON
- Full-time
Lead the content creation and communication of timely investment-related publications and video-recordings to Investment Counsellors and clients.
Added 4 hours ago
SG
Senior QA Tester
Smoking Gun Interactive Inc.
Vancouver, BC
- $55,000 to $65,000 CAD / year
- Full-time
As a Senior QA Tester at Smoking Gun Interactive (SGI) you most have prior QA experience in video games, mobile testing, or a related field. You boast a keen eye for detail, strong…
Added 5 hours ago
CP
Project Manager (24-month contract)
Champion Petfoods
AB · CPE-Champion Petfoods Holding Inc. (Edmonton)
- Full-time
Material Circularity & Recycled Content: Partner with Packaging R&D to track and validate projects that integrate sustainable materials, such as Post-Consumer Recycled (PCR) content, into…
Added 5 hours ago
SG
Senior QA Tester
Smoking Gun Interactive
Vancouver, BC
- Full-time
As a Senior QA Tester at Smoking Gun Interactive (SGI) you most have prior QA experience in video games, mobile testing, or a related field. You boast a keen eye for detail, strong…

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/

Apply About employer

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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