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Added 35 mins ago
T
Market Risk Associate - FX (5563)
TD
Toronto, ON
- Full-time
Identify data quality, methodology, model, and system issues; assess their impact on risk and valuation results; and contribute to timely resolution.
Added 50 mins ago
CO
Manager of Engineering
City of Wetaskiwin
Wetaskiwin, AB
- Full-time
…leadership, technical expertise, and operational oversight for our Engineering department. As the City's Engineer, the Manager of Engineering is responsible for planning, organizing,…
Added 1 hour ago
CS
Project Manager - Information and Communications Technology/ Chef de Projet - Technologies de l'information et de la Communication
Canadian Standards Association
Ottawa, ON
- $88,260 to $100,000 CAD / year
- Full-time
CSA Group has an immediate opportunity for a Project Manager, Information and Communications Technology (ICT) reporting to the Program Manager, Data and Agri-Food.
Added 1 hour ago
CS
Project Manager - Information and Communications Technology/ Chef de Projet - Technologies de l'information et de la Communication
Canadian Standards Association
Toronto, ON
- $88,260 to $100,000 CAD / year
- Full-time
CSA Group has an immediate opportunity for a Project Manager, Information and Communications Technology (ICT) reporting to the Program Manager, Data and Agri-Food.
Added 1 hour ago
CS
Project Manager - Information and Communications Technology/ Chef de Projet - Technologies de l'information et de la Communication
Canadian Standards Association
Montreal, QC
- $88,260 to $100,000 CAD / year
- Full-time
CSA Group has an immediate opportunity for a Project Manager, Information and Communications Technology (ICT) reporting to the Program Manager, Data and Agri-Food.
Added 1 hour ago
CS
Project Manager - Information and Communications Technology/ Chef de Projet - Technologies de l'information et de la Communication
Canadian Standards Association
Calgary, AB
- $88,260 to $100,000 CAD / year
- Full-time
CSA Group has an immediate opportunity for a Project Manager, Information and Communications Technology (ICT) reporting to the Program Manager, Data and Agri-Food.
Added 1 hour ago
CA
CMM Operator & Programmer
Can Art Aluminum Extrusion
Lakeshore, ON
- Full-time
Turn inspection data into action by analyzing CMM reports, identifying trends, and communicating quality concerns to Quality, Engineering, and Production teams.
Added 2 hours ago
LA
Team Lead Software Engineer
Longboard Architectural Products
Abbotsford, BC
- $90,000 to $115,000 CAD / year
- Full-time
Longboard is seeking an experienced Team Lead Software Engineer with strong Python expertise to lead a small team of developers supporting our manufacturing and business operations.…
Added 2 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 3 hours ago
CO
Program Lead, Water/Wastewater Condition Assessment and Analytics
City of Greater Sudbury
Sudbury, ON · Greater Sudbury, ON
- Full-time
…project schedule, and work breakdown structure. Communicate risk, quality, commissioning, and transition plans to…
Added 3 hours ago
Senior Civil Engineer
GHD Group Pty Ltd
Vancouver, BC
A seasoned engineering professional with demonstrated technical expertise aligned to professional accreditation standards. Independently leads the design, planning, management and delivery…
Added 3 hours ago
CP
Project Manager (24-month contract)
Champion Petfoods
AB · CPE-Champion Petfoods Holding Inc. (Edmonton)
- Full-time
Champion Petfoods is expanding! We are excited to announce we are looking for a Project Manager (24-month contract) to join our rapidly growing company.
Added 3 hours ago
R
Procurement Manager (Contract)
RTX
Calgary, AB
- Full-time
We are seeking an experienced Procurement Manager, for a 1-year contract, to oversee and lead all purchasing activities, processes, systems, and tools. In this role, you will support a team…
Added 4 hours ago
CP
Project Manager (24-month contract)
Champion Petfoods
AB · Greater Edmonton Metropolitan Area
- $100,000 to $137,000 CAD / year
- Contract
Champion Petfoods is expanding! We are excited to announce we are looking for a Project Manager (24-month contract) to join our rapidly growing company.
Added 4 hours ago
L
Technical Developer, Men's | Contract until July 2027
lululemon
Vancouver, BC
- Full-time
…requesting sampling, fitting product and keeping an accurate data library of the life cycle of a product. Product Development is a truly cross functional working group that pivot to…
Added 4 hours ago
ES
IT Manager/ Prophet 21 BSA
ESBE Scientific
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Lead business improvement initiatives involving ERP, CRM, reporting, analytics and data quality.
Added 4 hours ago
MI
Programmer Analyst
Magna International
St. Thomas, ON
- $84,000 to $100,000 CAD / year
- Full-time
College diploma or university degree in the field of computer science, information systems, or software engineering.
Added 4 hours ago
V
Engineering Manager, Customer Trust - Canada
Vanta
Remote, Canada
- Full-time
- Remote
What you’ll do as a Engineering Manager at Vanta:
Added 5 hours ago
Supervisor, Field Operations - Water Operation (Construction)
City of Regina
Regina, SK
Maintain, analyze, and interpret operational, technical, and financial data and statistics for evaluating performance with respect to quality, productivity, efficiency, effectiveness, and…
Added 5 hours ago
PT
Manufacturing Manager
Pentangle Tech Services | P5 Group
Calgary, AB
- Contract
Work with Operations, Maintenance, Quality, Engineering, and Supply Chain teams to ensure seamless implementation and handover.
Added 6 hours ago
AC
Manager, Maintenance
Aurora Cannabis Inc.
Mount Currie 6, BC
- Full-time
The Manager, Maintenance is responsible for managing the facility infrastructure, utilities, equipment, and maintenance program at the Alpine facility in Pemberton, BC. This role is…
Added 6 hours ago
GL
Data Operations Engineer
goeasy Ltd.
Mississauga, ON
- Full-time
Investigate and resolve production incidents, job failures, data quality issues, performance bottlenecks, and integration challenges.
Added 6 hours ago
S
Software Engineer Co-op, Agents
Solink
Remote, Canada
- $55,000 to $68,000 CAD / year
- Full-time
- Remote
You are writing, testing, and debugging code to ensure high-quality software; you are participating in code reviews and helping to maintain coding standards.
Added 7 hours ago
CN
Project Controls & Data Analyst
Conexus Nuclear Inc. (Conexus)
Toronto, ON
- $75,000 to $90,000 CAD / year
- Full-time
…accessibility, and routine maintenance of R&D databases, including data imports/exports, backup/recovery strategies, and alignment with authorized Conexus procedures. Perform data…
Added 7 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
Translate product strategy into detailed scientific requirements for prototype construction and final product development by engineering and data science teams.

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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