Jobs in Canada

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Added 13 days ago
A
Senior AI Quality Developer, Personalization
Autodesk
Toronto, ON
- Full-time
We're looking for a Senior AI Quality Developer to help make those experiences reliable and trustworthy. In this role, you'll work on Autodesk Assistant, helping ensure we deliver…
Added 13 days ago
A
Senior AI Quality Developer, Personalization
Autodesk
Toronto, ON
- Full-time
We're looking for a Senior AI Quality Developer to help make those experiences reliable and trustworthy. In this role, you'll work on Autodesk Assistant, helping ensure we deliver…
Added 13 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 13 days ago
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Scientifique des données III-Ing/Data Scientist III- Eng
UKG
Montreal, QC
- Full-time
Le candidat idéal travaillera trois jours par semaine dans nos bureaux de Montréal
Added 13 days ago
C
Agentic AI Architect
CGI
Toronto, ON
- Full-time
Being "hands-on" to build, tune, deploy and monitor (MLOps and LLMOps) robust Machine Learning solutions built on RAG and latest GenAI techniques
Added 13 days ago
C
Senior Agentic AI developer
CGI
Toronto, ON
- Full-time
…(GTO) Canada is seeking a highly skilled Senior Agentic AI Developer to design, develop, and deploy next-generation AI solutions leveraging Large Language Models (LLMs), Generative AI,…
Added 13 days ago
Digital Architect
Government of Alberta
AB
Knowledge of DevOps, CI/CD pipelines, and MLOps automation tools.
Added 13 days ago
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Full Stack Engineer, Agentic AI
Lazer
Remote, Canada
- Contract
- Remote
Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability.
Added 13 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 13 days ago
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Manager, Machine Learning (Canada)
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML and LLM-driven features for Clio customers.
Added 14 days ago
ET
AI Architect
Envision Technology Solutions
Canada
- Contract
Must Have Skills:
Added 14 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 14 days ago
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(Junior) Data Engineer (12-Month Contract)
BC Financial Services Authority
Vancouver, BC
- $56,294 to $107,310 CAD / year
- Contract
Added 14 days ago
AI
Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer (Python/Pyspark Developer)
Added 14 days ago
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Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Apply automation and MLOps practices to improve reliability, efficiency, and scalability.
Added 14 days ago
FS
Solutions Architect, AI/ML
Fidus Systems
Remote, Canada
- Full-time
- Remote
Exposure to MLOps practice, including model versioning, monitoring, and retraining in production, is an asset;
Added 14 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 14 days ago
AI
Python Developer -Forward Deployed, Pyspark
Apptoza Inc.
Toronto, ON
- Contract
Role: Python Developer -Forward Deployed, Pyspark
Added 14 days ago
FS
Solutions Architect, AI/ML
Fidus Systems
Canada
- Full-time
Exposure to MLOps practice, including model versioning, monitoring, and retraining in production, is an asset;
Added 14 days ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Added 14 days ago
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Data Scientist II
TD
Toronto, ON · Montreal, QC
- Full-time
…implementation and productionization with Engineering, FICO, MLOps, and platform…
Added 14 days ago
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Senior AI Scientist
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 14 days ago
AI
Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Added 14 days ago
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Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 CAD / year
- Full-time
Operationalize AI/ML pipelines using MLOps best practices, including model deployment, versioning, CI/CD, automated testing, and monitoring
Added 14 days ago
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Spécialiste IA et automatisation de processus
EXFO
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Collaborer avec les développeurs MLOps à l’évolution de notre plateforme agentique en identifiant les besoins liés aux connecteurs, à l’orchestration, aux permissions et à l’intégration.

Apptoza Inc.

Python Developer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Title: Forward Deployed Engineer (Python/Pyspark Developer)

Location: Toronto, ON

Duration: Fulltime (Hybrid)

Requirement: Immediate

The opportunity

We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You will embed with business users, client SMEs, product owners, and engineering teams to understand complex workflows, rapidly validate solutions using real data, remove technical blockers, and own delivery through production launch, stabilization, adoption, and handover.

What you will do

Embed with client SMEs, product owners, business users, and engineers to map workflows, users, data, constraints, and decision points.

Agree on the first useful release, measurable success criteria, and a practical roadmap from prototype to production.

Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.

Build thin working solutions using real client data and APIs, validate them with users, and iteratively harden them for production.

Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.

Build Claude-powered applications, copilots, and AI workflows using prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.

Design batch, real-time, and streaming data pipelines and integrations across enterprise systems.

Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.

Create evaluation datasets with client SMEs, measure model and LLM quality, perform structured error analysis, and prioritize improvements.

Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with client teams.

Own post-go-live monitoring, incident diagnosis, rollback, stabilization, latency, performance, reliability, and cost optimization.

Measure adoption and business impact using agreed KPIs, then complete structured handover with runbooks, support ownership, and knowledge transfer.

What you bring

10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.

Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed processing.

Experience with Claude, prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.

Strong knowledge of ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, observability, and DataOps.

Experience operationalizing MLOps/LLMOps, including model lifecycle management, automated deployment, monitoring, rollback, and production support.

Knowledge of enterprise cloud services across compute, storage, integration, orchestration, networking, monitoring, security, and cost optimization.

Understanding of IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.

Ability to translate business requirements into scalable designs, define non-functional requirements, estimate effort, and drive implementation.

BFSI experience and strong client-facing skills across discovery, rapid prototyping, solution shaping, workshops, and technical presentations.

Bachelor's degree in a relevant discipline. Cloud, Kubernetes, AI engineering, MLOps, data engineering, architecture, or security certifications are preferred.

In addition to your confirmation, please provide us with your most recent updated resume. We also require the following details from you:

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More about this job

Responsibilities

Embed with client teams to understand workflows and data, validate solutions using real data, and deliver enterprise AI and data applications from prototype through production launch. Build and operate data pipelines and AI workflows, manage production reliability and optimization, measure adoption and business impact, and complete structured handovers.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with strong hands-on skills in Python, PySpark, SQL, APIs, cloud technologies, and MLOps/LLMOps. Candidates should have experience with Claude and generative AI patterns, enterprise data pipelines and security, and client-facing delivery; a relevant bachelor's degree is required, while relevant certifications are preferred.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
Semantic Search
Agentic AI
Data Engineering
MLOps/LLMOps
Kubernetes
Airflow
Client-Facing Consulting

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Pandas
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data Pipelines
Data Quality
DataOps
MLOps
LLMOps
MLflow
CI/CD
Docker
Kubernetes
Airflow
Distributed Processing
Cloud Data Platforms
IAM/RBAC
BFSI
Monitoring
Data Lineage

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Work requirements

Jobs in Canada