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Added 43 mins ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…system, devices, and hardware while connecting to cloud-powered…
Added 1 hour ago
T
Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
Build reusable data services supporting reporting, analytics, APIs, and business intelligence platforms.
Added 2 hours ago
NS
Group Services Labourer - Skilled Labourer (Hands-On Training Provided)
Northern Strands
Saskatoon, SK
- Full-time
…products, fall protection, suspended access, agri-business field services, electrical services, and safety training to mining site services, fabrication, rentals, repairs, testing and…
Added 2 hours ago
W
Senior Environmental Scientist / Engineer / Technologist
Worley
Cold Lake, AB
- Full-time
As a Senior Environmental Scientist / Engineer / Technologist, you will play a key role in leading contaminated site assessment and remediation programs across Alberta. This role blends…
Added 2 hours ago
W
Intermediate Environmental Scientist, Engineer-in-Training or Technologist
Worley
Cold Lake, AB
- Full-time
As an Intermediate Environmental Scientist, Engineer-in-Training, or Technologist, you will play a key role in delivering contaminated site assessment, remediation, reclamation, and…
Added 2 hours ago
M
Agentic Engineer, Innovation
Manulife
Montreal, QC
- Full-time
The Agentic Engineer, Innovation will design, build, and scale agentic AI solutions for Canada AI, helping translate high-value innovation opportunities into secure, reusable, and…
Added 3 hours ago
EM
AV Service Engineer - Control Systems & Device Integration
Evertz Microsystems Limited
Burlington, ON
- Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…
Added 4 hours ago
H
Senior Designer, ICT/Security
HDR
Calgary, AB · Toronto, ON
- Full-time
…enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people…
Added 4 hours ago
A
Junior Materials Engineering Technician
AtkinsRéalis
Woodbridge, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 4 hours ago
A
Junior Materials Engineering Technician
AtkinsRéalis
Woodbridge, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 5 hours 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 5 hours ago
WI
Lead Conveyance Engineer - Civil Engineering
WSP in Canada
Mississauga, ON
- Full-time
Support construction activities through technical reviews, site visits, contractor coordination, and field services.
Added 5 hours ago
WI
Lead Conveyance Engineer - Civil Engineering
WSP in Canada
Toronto, ON · Etobicoke, ON
- Full-time
Support construction activities through technical reviews, site visits, contractor coordination, and field services.
Added 5 hours ago
WI
Lead Conveyance Engineer - Civil Engineering
WSP in Canada
Vaughan, ON
- Full-time
Support construction activities through technical reviews, site visits, contractor coordination, and field services.
Added 5 hours ago
LG
HEALTH & SAFETY OFFICER
Laframboise Groupe
Long Sault, ON
- Full-time
…shaping careers. We specialize in fabrication and construction services, including piping, structural steel, sheet metal, millwrighting, tank and pressure vessel fabrication, electrical and…
Added 5 hours ago
WI
Lead Conveyance Engineer - Civil Engineering
WSP in Canada
Markham, ON
- Full-time
Support construction activities through technical reviews, site visits, contractor coordination, and field services.
Added 5 hours ago
EG
Software Development Engineer I
Expedia Group
Vancouver, BC · Canada - British Columbia - Vancouver
- Full-time
Expedia Group B2B connects partners across the travel industry to our leading technology, supply, and services - helping them deliver seamless travel experiences to their customers. From…
Added 5 hours ago
CO
Senior Manager, Software Engineering
Capital One
Toronto, ON
- Full-time
At least 10 years of experience as a hands-on software engineer
Added 5 hours ago
Lead Conveyance Engineer - Civil Engineering
WSP
Thornhill, ON
Support construction activities through technical reviews, site visits, contractor coordination, and field services.
Added 8 hours ago
SC
IT Site Manager
STERIS Canada ULC (Canada Manufacturing)
Quebec, QC
- Full-time
Review and approve purchases of hardware, software, and technology services.
Added 8 hours ago
AG
Mill Projects Engineer
Artemis Gold - Blackwater Project
BC
- Other
Maintain a strong field presence and ensure all assigned work complies with company requirements and applicable health, safety, environmental, and regulatory standards.• Develop project…
Added 8 hours ago
A
Software Engineer, AI & Engineering Productivity Tools
AMD
Markham, ON
- $128,000 to $192,000 USD / year
- Full-time
AMD is seeking a Software Engineer, AI & Engineering Productivity Tools to build platforms, automation, and AI-powered tools that improve engineering productivity across ASIC design and…
Added 8 hours ago
A
Sr. Software Development Engineer, AI Models
AMD
Markham, ON
- $132,000 to $198,000 USD / year
- Full-time
Join our innovative team at AMD as an AI Models Software Engineer. We are seeking passionate individuals who are dedicated to optimizing, accelerating, and applying AI models. As a member…
Added 9 hours ago
A
Amélioration Continue - Continuous Improvement
Actalent
Montreal, QC
- $41 to $60 CAD / hour
- Contract
The Continuous Improvement Engineer leads end-to-end improvement projects on the production floor, from initial concept to final delivery, ensuring that all work is performed safely,…
Added 9 hours ago
A
Software Engineer
Actalent
Ottawa, ON
- $50 to $74 CAD / hour
- Contract
…infotainment platform. You will work on OS, kernel, drivers, and core services such as file systems, graphics, networking, USB, WiFi, startup sequence, and camera services. You will…

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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