Jobs in Mississauga, ON and nearby (88,368 jobs)

Jobs within 25 km of Mississauga, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

88,368 listings · 10,743 employers Counted Nov 6, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (1,446 listings), Shoppers Drug Mart (1,366 listings), S M Software Solutions Inc (971 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

14,604 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	8,111
CAD / hour	30.00	6,026
USD / year	158,000.00	71
CAD / month	4,000.00	35
CAD / week	2,236.82	30

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 29% hybrid, 71% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Mississauga, ON and nearby

Within 25 km

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Added 47 mins ago
SI
Lead Applied AI Scientist
S-Solutions Inc- a SyeDyn Company
Toronto, ON
- Contract
Added 47 mins ago
IE
Analyst, Business
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
Added 47 mins ago
E
Country Manager Canada
elockers
Toronto, ON
- Full-time
Added 1 hour ago
E
Countrymanager Canada
elockers
Toronto, ON
- Full-time
Added 1 hour ago
E1
English Second Language Teacher
English 1
Toronto, ON
- Full-time
Added 1 hour ago
E1
Entry-Level English Teacher Abroad (Teach in China – Full Training & Visa Sponsorship)
English 1
Oakville, ON
- Full-time
Added 1 hour ago
E1
English Second Language Teacher
English 1
Toronto, ON
- Full-time
Added 1 hour ago
E1
English Second Language Teacher
English 1
Toronto, ON
- Full-time
Added 1 hour ago
E1
English Second Language Teacher
English 1
Mississauga, ON
- Full-time
Added 1 hour ago
CC
Head of Sales
Citation Canada
Toronto, ON
- Full-time
Added 1 hour ago
E1
English Second Language Teacher
English 1
Oakville, ON
- Full-time
Added 1 hour ago
E1
English Second Language Teacher
English 1
Toronto, ON
- Full-time
Added 1 hour ago
AW
Digital Systems & Web Developer
Andrew Wommack Ministries Canada
Toronto, ON
- Part-time
Added 1 hour ago
CS
Instructor, Introduction to Engineering (Mississauga)
Circuit Stream
Mississauga, ON
- $1,650 CAD / week
- Contract
Added 1 hour ago
CS
Instructor, Introduction to Engineering (Toronto)
Circuit Stream
Toronto, ON
- $1,650 CAD / week
- Contract
Added 1 hour ago
CS
Instructor, Introduction to Engineering (North York)
Circuit Stream
Toronto, ON
- $1,500 to $1,650 CAD / week
- Contract
Added 1 hour ago
AT
digital marketing coordinator
Amanah Tech Inc.
Toronto, ON
- Full-time
Added 1 hour ago
A
Senior Government Funding Consultant
Ayming
Toronto, ON
- Full-time
Added 1 hour ago
A
Future Opportunities: SR&ED Consultant
Ayming
Toronto, ON
- Full-time
Added 1 hour ago
A
Future Opportunities: Business Development Manager
Ayming
Toronto, ON
- Full-time
Added 1 hour ago
MI
Millwright
Martinrea International
Woodbridge, ON
- Internship
Added 1 hour ago
MT
Retail Staff
Medieval Times Dinner & Tournament - Dallas
Toronto, ON
- Part-time
Added 2 hours ago
AC
Erp Consultant
Aston Carter
Mississauga, ON
- $60 to $70 CAD / hour
- Contract
Added 2 hours ago
BT
Customer Service Assistant - Mississauga Office
Bison Transport
Mississauga, ON
- Full-time
Added 2 hours ago
IF
inventory control manager
Iqbal Foods
Oakville, ON
- Full-time

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 13, 2026

Original job description

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

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 work closely with business users, subject matter experts, 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

Work with subject matter experts, 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 data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Build working solutions using real 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 subject matter experts, measure model and LLM quality, perform structured error analysis, and prioritize improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with technical 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.
Financial services 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.

Apply About employer

More about this job

Responsibilities

Partner with business users, subject matter experts, and engineering teams to understand workflows, assess real-world data, and deliver enterprise AI and data applications from prototype through production launch. Operate and improve deployed solutions by managing pipelines, model quality, monitoring, incidents, performance, adoption, and handover.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with hands-on expertise in Python, PySpark, SQL, APIs, cloud technologies, and MLOps/LLMOps. A relevant bachelor's degree, financial services experience, and strong client-facing skills are required; relevant cloud, Kubernetes, AI, data, architecture, MLOps, or security certifications are preferred.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
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
Financial Services
Model Monitoring
Data Lineage
Incident Management

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