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Added 2 months ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
Added 2 months ago
Senior Consultant - Fraud Analytics
EY
Toronto, ON
Knowledge of MLOps, model governance, explainable AI, and model monitoring practices.
Added 5 months ago
K
Manager, Data Platform(s) Architect, Data & AI
KPMG
Calgary, AB · Vancouver, BC
- Full-time
Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
Added 3 months ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Added 2 months ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and…
Added 2 months ago
SG
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
- Full-time
…infrastructure, deployment workflows, observability standards, and developer experience patterns that scale across the…
Added 2 months ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset…
Added 2 months ago
RB
Lead AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Architect and implement MLOps pipelines for model training, evaluation, deployment, and monitoring
Added 2 months ago
R
Lead AI/ML Engineer
RBC
Toronto, ON
- Full-time
Architect and implement MLOps pipelines for model training, evaluation, deployment, and monitoring
Added 2 months ago
B
Director, AI Platform Engineering
BMO
Toronto, ON · BMOPLACE
- Full-time
…are energized by taking real engineering assets - an existing developer portal, AI registry, a body of policy-as-code, and gateway integrations - and formalizing, scaling, and governing…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 2 months ago
Sr Director, Enterprise Data and AI Platform
Dayforce
Canada
Establish enterprise MLOps and LLMOps practices for machine learning and generative AI, including model lifecycle management, prompt and model evaluation, monitoring, observability,…
Added 4 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
Experience in data engineering, MLOps, or AI infrastructure
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
MLOps tools: Weights & Biases, MLflow, Langfuse
Added 2 months ago
TA
Machine Learning Engineer (with Vertex AI Experience)
Tiger Analytics
Canada
- Full-time
Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows.
Added 6 months ago
GM
Data Scientist
Gibraltar Mine
McLeese Lake, BC
- Full-time
Linux command line interface, bash scripting, workflow orchestration with Airflow, containerization with Docker, version control with Git, and MLOps practices.
Added 2 months ago
Senior, AI & Data Science
Artefact North America
Montreal, QC
MLOps exposure: model versioning, pipelines, monitoring.
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Artefact North America
Montreal, QC
Added 2 months ago
Director, AI & Data Science
Artefact North America
Montreal, QC
Solid grasp of AI system design: ML model lifecycle (MLOps), agents, tool use, evaluation harnesses, guardrails, and observability.
Added 2 months ago
IF
AI Developer Senior
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior AI Developer to join our growing team!
Added 2 months ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
MLOps exposure: model versioning, pipelines, monitoring.
Added 2 months ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
Knowledge of MLOps practices and model deployment
Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
Participate in the deployment lifecycle of machine learning models and applications, including Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) practices
Added 2 months ago
C
Senior Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
…modern technology platforms that improve software delivery, developer productivity, operational resilience, security, and business…

Palitronica Inc.

MLOps & Data Engineer

Waterloo, ON, Canada

$90,000 to $120,000 CAD / year · Full-time

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Job details

Pay: $90,000 to $120,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Aug 20, 2026

Original job description

Overview

Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and deployment workflows already exist. Your focus will be to keep the framework reliable and maintainable, improve how data is stored and accessed, and help Data Scientists move model changes safely into production.

This is a hands-on product engineering role. You will write production-quality, object-oriented Python and make pragmatic choices across relational databases, document databases, and object or file storage. Familiarity with Azure or AWS is useful, but this is not primarily a cloud-infrastructure role. Our current ML focus is classical and statistical modeling rather than LLM or RAG infrastructure

Responsibilities

Develop, maintain, extend, test, and document the object-oriented Python framework used for ML development, evaluation, packaging, deployment, and monitoring.
Turn Data Scientist requirements and experimental code into stable, reusable product components and interfaces.
Design data models, access patterns, and storage strategies across relational databases, document databases, and object or file storage.
Improve programmatic data access, framework interfaces, metadata, versioning, reproducibility, and operational traceability.
Support packaging, CI/CD, containerized workflows, monitoring, and recovery practices for data and ML workloads.
Diagnose performance, reliability, scaling, and data-quality problems across the framework and its integrations.
Contribute to technical decisions, review code from junior contributors, guide co-op students, and collaborate across Data Science, software, hardware, RF, and security.

Required Qualifications

3+ years of professional Python development, with a demonstrable record of shipping and maintaining object-oriented product code; 5+ years or equivalent depth is preferred.
Strong software-engineering fundamentals, including modular design, APIs, automated testing, packaging, profiling, debugging, and code review.
Hands-on experience designing and accessing production data systems using SQL, data models, schemas, and multiple database or storage approaches.
Practical familiarity with Azure or AWS and cloud-based storage; deep cloud-platform specialization is not required.
Practical experience with ML delivery workflows, CI/CD, containers, Git, versioning, and observability.
A working understanding of the ML lifecycle and the ability to partner effectively with Data Scientists without needing to own model research.
Ability to provide constructive code review and technical guidance to junior contributors and co-op students.
Clear communication, sound technical judgment, and the ability to work independently while taking growing ownership of systems used by other engineers and scientists.

Nice to Have

S3 or S3-compatible object storage, Azure Blob Storage, Cosmos DB, or comparable systems.
Sensor, time-series, spectral, RF, industrial, or other physical measurement data.
Performance tuning, caching, concurrency, or reliable handling of large datasets and files.

Export Control, Controlled Goods & Security Eligibility

This position requires direct or indirect access to hardware, software, or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the U.S. International Traffic in Arms Regulations (ITAR), and/or the U.S. Export Administration Regulations (EAR).
All applicants must be eligible or able to obtain authorization for such access, including eligibility for the Canadian Controlled Goods Program, and must be able to obtain a Canadian NATO Secret clearance.

Why Join Palitronica?

Work with cutting-edge technology at the intersection of cybersecurity, AI, and advanced electronics testing.
Help protect critical supply chains and infrastructure.
Join a high-growth company serving some of the world's most demanding industries.
Collaborate with a talented and mission-driven team.
Make a measurable impact on the company's growth trajectory.
Palitronica is an equal opportunity employer and welcomes applications from all qualified candidates.

Use of AI in Hiring

Palitronica may use artificial intelligence tools to assist with the screening or assessment of applicants. These tools are used strictly as an aid, and all hiring decisions are made by human reviewers.

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More about this job

Responsibilities

Develop and maintain an object-oriented Python framework for machine learning development, deployment, and monitoring. Design data models and storage strategies across various databases to improve data access and operational traceability.

Requirements

Requires 3+ years of professional Python experience (5+ preferred) with strong software engineering fundamentals and production data system design. Candidates must be eligible for Canadian Controlled Goods and NATO Secret security clearances.

Skills

Python
MLOps
Data Engineering
Object-Oriented Programming
SQL
CI/CD
Containerization
Azure
AWS
API Design
Automated Testing
Data Modeling
Git
Observability
Performance Tuning
Code Review

Visa sponsorship

Not detected in the job text

Keywords

Python
MLOps
Data Engineering
Object-Oriented Programming
SQL
Azure
AWS
CI/CD
Containers
Git
S3
Cosmos DB
Time-series Data
RF Data
Spectral Data
Classical Modeling
Statistical Modeling
Data Modeling
API
Profiling
Debugging
Export Control
ITAR
EAR
NATO Secret Clearance
Cybersecurity
Electronics Testing
Metadata
Versioning
Reproducibility

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