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Added 2 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 2 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 2 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 10 hours ago
A
Principal, AI Agent Control & Governance
ATB
Edmonton, AB · Calgary, AB
- Full-time
…governance requirements directly into technical workflows, MLOps pipelines, and agent execution environments. This ensures innovation velocity is maximized while maintaining audit-ready…
Added 14 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 14 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 14 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Microsoft Foundry/Azure AI Foundry, Machine Learning Operations (MLOps), CI/CD, containers, APIs, automation, model deployment, monitoring, and observability. The ideal candidate will have…
Added 1 day ago
M
AI Scientist Intern - (Internship, Masters or Phd)
Mistral
Montreal, QC
- Internship
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes…
Added 1 day ago
LD
Engineering Manager, Agentic AI & Machine Learning
Loblaw Digital
Toronto, ON
- Full-time
Build for production at scale: Promote sound engineering practices across CI/CD, MLOps, LLMOps, security, responsible AI, incident management, and operational readiness.
Added 1 day ago
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Instructor (Continuous), Applied AI
NAIT (Northern Alberta Institute of Technology)
AB · Edmonton, AB
- Full-time
Added 1 day ago
Data Developer
Aylo Careers
Montreal, QC
End-to-end MLOps: feature engineering on large-scale telemetry (pandas/Polars, PySpark), anomaly detection and classification models (scikit-learn, XGBoost, PyOD), and experiment tracking…
Added 1 day ago
SL
Director, AI Engineering
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
· Implement MLOps and LLMOps pipelines integrated with IT change and release management.
Added 1 day ago
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Data Developer
Aylo
Toronto, ON
- Full-time
End-to-end MLOps: feature engineering on large-scale telemetry (pandas/Polars, PySpark), anomaly detection and classification models (scikit-learn, XGBoost, PyOD), and experiment tracking…
Added 1 day ago
LC
Engineering Manager, Agentic AI & Machine Learning
Loblaw Companies Limited
Toronto, ON
- Full-time
Build for production at scale: Promote sound engineering practices across CI/CD, MLOps, LLMOps, security, responsible AI, incident management, and operational readiness.
Added 1 day ago
Senior AI/ML & Robotics Platform Developer
Siemens
Kitchener, ON
Experience with PyTorch ecosystem tooling, experiment tracking, MLOps, or evaluation pipelines.
Added 1 day ago
NA
Instructor (Continuous), Applied AI
Northern Alberta Institute of Technology
St. Catharines, ON · Main Campus
- Full-time
Added 1 day ago
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Conseiller(ère) en gouvernance
Onepoint
Montreal, QC · Quebec, QC
- Full-time
…visualisation (Power BI), des bases de données, des API, du MLOps et des pratiques DevSecOps - sans nécessairement développer…
Added 1 day ago
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Conseiller(ère) en gouvernance
Wepoint
Montreal, QC · Quebec, QC
- Full-time
…visualisation (Power BI), des bases de données, des API, du MLOps et des pratiques DevSecOps - sans nécessairement développer…
Added 1 day ago
S
Python Developer with Django & React Experience
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a talented Python Full-Stack Developer with Django & React Experience to join our growing team. In this role, you will be responsible for designing, developing, and…
Added 1 day ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 1 day ago
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Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 1 day ago
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Forward Deployed Engineer
UST
Toronto, ON
- Full-time
Key skills: Python, data pipelines, REST/gRPC APIs, MLOps and LLM/AI workflows, semiconductor test data (STDF, wafer/lot data)
Added 2 days ago
RD
Senior Technical Analyst / Developer - Machine Learning & Data Engineering
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $130,000 CAD / year
- Full-time
Senior Technical Analyst / Developer (Machine Learning & Data Engineering)

Randstad Digital

Senior Technical Analyst / Developer - Machine Learning & Data Engineering

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$100,000 to $130,000 CAD / year · Full-time

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Job details

Pay: $100,000 to $130,000 CAD / year
Job type: Full-time
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Senior Technical Analyst / Developer (Machine Learning & Data Engineering)

About Our Client

Our client is one of Canada’s leading and most respected financial services institutions, dedicated to helping Canadian investors build stronger financial futures for over 35 years. Consistently recognized as one of Canada’s Top 100 Employers, they are a privately owned organization known for embracing technological innovation, championing inclusive culture, and providing extensive career growth opportunities across high-performing enterprise teams.

Role Overview

We are seeking a senior, hands-on Senior Technical Analyst / Developer to design, build, deploy, and operationalize enterprise machine learning, data engineering, and AI solutions. In this role, you will bridge the gap between technical analysis, software engineering, and production operations - partnering directly with Data Scientists, Product Owners, Security, and Cloud Architecture teams to scale production data pipelines and generative/agentic AI workflows on AWS, Snowflake, and Informatica Cloud.

Main Responsibilities

Technical Delivery & Architecture: Translate complex business requirements into technical solution designs, architecture blueprints, and implementation roadmaps. Lead technical alignment, perform code reviews, and provide mentorship to engineering peers.
ML, Data & AI Engineering: Build and support production data pipelines, automated integrations, and analytics workflows using Python and SQL. Support data ingestion and processing across AWS, Snowflake, and Informatica Cloud while enforcing data quality, lineage, and source-to-target mapping.
GenAI & Agentic Workflows: Assist in deploying and operationalizing enterprise Generative and Agentic AI applications, including retrieval mechanisms, vector search, tool integrations, and model monitoring.
AWS DevOps & Production Operations: Deploy and monitor ML/data workloads on AWS. Implement CI/CD automation, containerized architectures, CloudWatch logging/alerting, cost governance, and root-cause analysis for production environments.

Must Haves

Education & Experience: Bachelor’s degree in Computer Science, Software Engineering, IT, or equivalent practical experience, paired with 5–8 years of hands-on experience in software development, data engineering, or cloud technical analysis.
Core Tech Stack: Advanced proficiency with Python and SQL for data processing, system integrations, and automation.
MLOps & GenAI: Prior exposure to operationalizing machine learning models (MLOps), RAG architectures, vector search, and agent-based frameworks.
DevOps Tooling: Working knowledge of Docker, container orchestration, workflow schedulers (e.g., Airflow), and Infrastructure as Code (IaC).
Pipelines & Integration: Demonstrated track record building, testing, and supporting enterprise data pipelines and end-to-end data workflows.
Engineering Best Practices: Practical expertise with Git version control, CI/CD pipelines, unit/integration testing, centralized logging, and production troubleshooting.
Cloud Foundation: Direct hands-on experience deploying or supporting workloads within cloud environments (AWS preferred).
Work Authorization: Valid, current Canadian work authorization is required.

Nice to Haves

AWS Ecosystem: Deep hands-on experience with services such as SageMaker, Amazon Bedrock, S3, Lambda, ECS, EKS, or CloudWatch.
Enterprise Data Platforms: Experience working with Snowflake and Informatica Cloud.
Certifications: Cloud or Data certifications (AWS Certified Solutions Architect/Data Engineer, Snowflake, Informatica, etc.).

Other Important Information:

Compensation

Base Salary Range: $100,000 – $130,000 CAD per annum
Incentive Bonus: Target 20% annual performance bonus

Work Model: Hybrid arrangement.

3 Robert Speck Parkway (Mississauga)
2 Days Onsite

Health & Wellness Benefits:

100% employer-paid health, dental, and medical premiums starting on Day 1.
Up to $5,000 annually for mental health services and therapy.
Retirement & Savings: Non-matching corporate group RRSP contribution initiated after 6 months of employment (100% company-funded).

Work-Life Balance & Leave:

Top-up parental leave to 100% of salary for up to 25 weeks.
Generous annual PTO plus 2 paid volunteer days each year.
Additional Perks: Up to $650 home office setup allowance, extensive tuition reimbursement, and access to over 11,000 professional development courses.

📩 How to Apply

If this sounds like a strong fit for your background and you meet the must-have qualifications, please forward your CV directly to me at:

📧 ANDY.WETTLAUFER@RANDSTADDIGITAL.COM

This post is for existing and upcoming vacancies

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More about this job

Responsibilities

Design, build, deploy, and operationalize enterprise machine learning, data engineering, and AI solutions, including production data pipelines and generative or agentic AI workflows. Lead technical design and alignment, support AWS-based production operations and DevOps automation, and collaborate with data science, product, security, and cloud architecture teams.

Requirements

Requires a bachelor’s degree in Computer Science, Software Engineering, IT, or equivalent practical experience, plus 5–8 years of relevant hands-on experience. Candidates need advanced Python and SQL skills, experience with enterprise data pipelines and cloud workloads, exposure to MLOps and GenAI approaches, familiarity with DevOps tools and engineering practices, and current Canadian work authorization.

Skills

Python
SQL
Machine Learning
Data Engineering
Generative AI
MLOps
RAG Architectures
Vector Search
AWS
Snowflake
Informatica Cloud
Docker
Airflow
Infrastructure as Code
CI/CD
Data Pipelines

Benefits

Employer-Paid Health, Dental, and Medical Insurance
Mental Health Services Coverage
Parental Leave Salary Top-Up
Paid Time Off
Paid Volunteer Days
Home Office Setup Allowance
Tuition Reimbursement
Professional Development Courses

Visa sponsorship

Not detected in the job text

Hiring contact email

ANDY.WETTLAUFER@RANDSTADDIGITAL.COM

Keywords

Python
SQL
AWS
Snowflake
Informatica Cloud
Machine Learning
MLOps
Generative AI
Agentic AI
RAG
Vector Search
Data Engineering
Data Pipelines
Data Quality
Data Lineage
Docker
Container Orchestration
Airflow
Infrastructure as Code
Git
CI/CD
Unit Testing
Integration Testing
CloudWatch
SageMaker
Amazon Bedrock
S3
Lambda
ECS
EKS

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