Find work in Canada.

555,393 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 6 days ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Added 6 days ago
SH
Senior Manager, Analytics & Insights
SE Health
Markham, ON
- Full-time
Added 6 days ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Full-time
Role: Forward Deployed Engineer (Python/Pyspark Developer)
Added 6 days ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Establish MLOps practices such as model registries, feature management, reproducible pipelines, and automated validation and release.
Added 6 days ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Establish MLOps practices such as model registries, feature management, reproducible pipelines, and automated validation and release.
Added 6 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $80 CAD / hour
- Contract
…business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be…
Added 6 days ago
AI
Data & Analytics leader
Apptoza Inc.
Toronto, ON
- Contract
Knowledge of AI, machine learning, Generative AI, Agentic AI, MLOps/LLMOps, responsible AI, and AI-led business transformation.
Added 6 days ago
ET
Azure Architect
Envision Technology Solutions
Canada
- Contract
Build a smart operations framework for DataOps and MLOps.
Added 6 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 6 days ago
RT
Machine Learning Specialist
Redlen Technologies Inc.
Victoria, BC
- $100,000 to $125,000 CAD / year
- Full-time
The Applied Machine Learning Developer develops machine learning, computer vision, and advanced analytical solutions for complex scientific, product-performance, reliability, sensor, and…
Added 6 days ago
WD
Sr. Software Engineer - Emerging Technology
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
Experience with model gateways and MLOps tooling (e.g., LiteLLM, AWS Bedrock), including multi-model routing, observability, and evaluation for AI systems.
Added 6 days ago
M
Sr. AI/ML Engineer, RAIB
McKesson
Mississauga, ON
- Full-time
● Experience with model observability, drift detection, AI monitoring platforms, and MLOps tooling.
Added 6 days ago
V
Azure Architect
ValueMomentum
Canada
- Contract
Build a smart operations framework for DataOps and MLOps.
Added 6 days ago
E
Scientifique des données sénior
EXFO
Quebec, QC
- Full-time
Expérience de collaboration étroite avec des équipes Applied AI ou MLOps sur la préparation et la prétraitement des données.
Added 6 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 6 days ago
HO
Senior AI Engineer
Hydro One
Toronto, ON
- $90 to $110 CAD / hour
- Contract
Experience implementing MLOps / LLMOps practices:
Added 6 days ago
LH
Applied AI Developer III (AI Laboratory)
LGI Healthcare Solutions Santé Inc.
Montreal, QC
- Full-time
As an Applied AI Developer III within LGI's AI Lab, you will design and deploy artificial intelligence components integrated into LGI's healthcare solutions. As part of a small…
Added 6 days ago
E
Scientifique des données sénior
EXFO
Montreal, QC · Quebec, QC
- Full-time
Expérience de collaboration étroite avec des équipes Applied AI ou MLOps sur la préparation et la prétraitement des données.
Added 6 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
…business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be…
Added 6 days ago
IS
Technical Lead -ML Ops / AI Platform
Iris Software Inc.
Toronto, ON
- Contract
Added 6 days ago
LH
Applied AI Developer III (AI Laboratory)
LGI Healthcare Solutions
Montreal, QC
- Full-time
As an Applied AI Developer III within LGI's AI Lab, you will design and deploy artificial intelligence components integrated into LGI's healthcare solutions. As part of a small…
Added 6 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $85 to $89 CAD / hour
- Contract
…business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production…
Added 6 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $82 CAD / hour
- Contract
…business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be…
Added 6 days ago
H
Forward Deployed Engineer
HRConnects
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
…prompt engineering, and vector databases, and implementing MLOps/LLMOps capabilities to ensure reliable, secure production environments. You’ll also support adoption and measure success,…
Added 7 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)

Apptoza Inc.

Forward Deployed Engineer (Python/Pyspark Developer)

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 25, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 26, 2026

Original job description

Forward Deployed Engineer (Python/Pyspark Developer)

Toronto ON, Hybrid (Full time)

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.

Thanks & regards,

Lakshmi Bhavani ,

Apptoza Inc.

Phone: 678-392-3978 Ext 4640

Phone: 437-291-3224 Ext 1105

Mail id : Lakshmi.bhavani@apptoza.com

Apply About employer

More about this job

Responsibilities

Embed with client teams to understand workflows and data, rapidly build and validate solutions, and deliver enterprise AI and data applications through production launch. Own pipelines, operationalization, post-launch reliability and optimization, adoption measurement, and structured handover.

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, and production tooling. Candidates should have experience with Claude and modern AI patterns, MLOps/LLMOps, enterprise cloud and security, and client-facing delivery; a relevant bachelor's degree is required.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
Data Engineering
MLOps/LLMOps
CI/CD
Kubernetes
Airflow
Client-Facing Consulting
BFSI

Visa sponsorship

Not detected in the job text

Hiring contact

Lakshmi Bhavani

Hiring contact email

Lakshmi.bhavani@apptoza.com

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
Production Support
Monitoring

Report this job