Find work in Canada.

343,710 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 9 mins ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 9 mins ago
LT
Data Engineer & Data Designer
Lorven Technologies Inc.
Toronto, ON
- Full-time
Work extensively with Databricks for data processing, transformation, and analytics.
Added 12 mins ago
Product Security Engineer
Asana
Vancouver, BC
We're looking for a Product Security Engineer to join our Product Security team in Vancouver. You'll be a key member of our security engineering team, partnering directly with product and…
Added 23 mins ago
AI
Senior CDN & Edge Reliability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
…repository is production: reconcile a merge-to-main deployment model with change control, so that every production change carries an approved record with stalling…
Added 23 mins ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Backend: Advanced Python (FastAPI/Django). Familiarity with Document AI or unstructured data parsing is a plus.
Added 24 mins ago
W
Technical Consultant I, Water Engineer
Worley
Vancouver, BC
- Full-time
The Technical Consultant I, Water Engineer, supports the delivery of high-quality water and wastewater treatment consulting services for industrial clients. Working as part of…
Added 24 mins ago
W
Technical Consultant I, Water Engineer
Worley
Calgary, AB
- Full-time
The Technical Consultant I, Water Engineer, supports the delivery of high-quality water and wastewater treatment consulting services for industrial clients. Working as part of…
Added 24 mins ago
LS
Quality Assurance Engineer
LeverageTek Staffing Solutions
Canada
- Temporary
LeverageTek is actively seeking a Senior QA Automation Engineer (Azure Cloud) for a permanent full-time position with its Ottawa-based customer.
Added 24 mins ago
SS
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
Staffmax Staffing & Recruiting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 24 mins ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Forward Deployed Engineer with strong expertise in Python, PySpark, SQL, Claude, APIs, AI application development, and MLOps. The ideal candidate will work…
Added 40 mins ago
S
Analytics Engineer - Consultant or Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in SQL and/or Python; experience with semantic layer tools and analytics platforms (e.g., dbt, Looker, Power BI, Tableau, Sigma)
Added 40 mins ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team.
Added 40 mins ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
…BOT management, TLS, DNS and cache invalidation – together with the release pipeline, the integrations on the page, and the observability practice that has to be built from real-user…
Added 57 mins ago
M
Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
As a Back-end Software Engineer within Group Functions Technology, you will be a key member building technology which supports our global operations. The ideal candidate has a curious mind,…
Added 1 hour ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
Added 1 hour ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions,…
Added 1 hour ago
ZS
Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
Added 1 hour ago
TD
Robotics QA Automation Engineer
TELUS Digital
Canada
- Full-time
…Specialist to join our team. In this role, you will work closely with Quality Specialists that have established rubrics and industry leading best practices for robotics data collection and…
Added 1 hour ago
LT
Data Engineer
Lorven Technologies Inc.
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 1 hour ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…infrastructure. You will work alongside our Cloud Platform Engineer on real engineering initiatives and learn how modern environments are designed, deployed, operated, and improved. You…
Added 1 hour ago
EM
Consultant - PySpark / Databricks Developer (Intermediate - Senior)
Electric Mind
Toronto, ON
- Full-time
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks…
Added 1 hour ago
P
Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
PointClickCare's Marketing organization is hiring a Marketing Data Analytics Engineer to build and maintain the data infrastructure behind marketing analytics and pipeline reporting. This…
Added 1 hour ago
MS
Design Validation Co-op
Motorola Solutions
Vancouver, BC
- Full-time
Prior experience with test automation and creating test scripts using Python.

TELUS Digital

Robotics QA Automation Engineer

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Experience: 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration.
Posting language: English
Posted: Oct 9, 2026

Original job description

Robotics QA Automation Engineer

Role Description

We are looking for an innovative and detail-oriented Robotics Automation Specialist to join our team. In this role, you will work closely with Quality Specialists that have established rubrics and industry leading best practices for robotics data collection and annotation. You will be responsible for translating them into designing, integrating, and managing workflows that connect multiple AI models, tools, and services with human-in-the-loop to deliver scalable, efficient, and business-aligned solutions. The ideal candidate has strong technical expertise in AI/ML, experience with orchestration frameworks, and the ability to translate business needs into automated, AI-driven processes. This position requires a blend of engineering, problem-solving, and strategic thinking to ensure that Robotics initiatives are effectively deployed, optimized, and continuously improved.

Key Responsibilities:

Previous experience with high quality egocentric data collection and annotation pipelines from Automation and HITL perspectives
Design and implement orchestration pipelines that connect multiple GenAI models, APIs, and tools into end-to-end workflows.
Collaborate with data scientists, engineers, and business stakeholders to define use cases and translate them into orchestrated AI solutions.
Ensure system scalability, performance, and reliability through effective orchestration strategies.
Monitor and optimize AI pipelines, addressing bottlenecks, errors, and inefficiencies.
Integrate orchestration platforms with cloud environments and enterprise systems.
Establish best practices for AI orchestration, versioning, monitoring, and lifecycle management.
Document processes, technical architectures, and orchestration standards for knowledge sharing.
Stay updated on advancements in AI orchestration, LLMs, and automation tools to continuously enhance solutions.

Requirements:

Education: Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field (or equivalent experience).
Experience: 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration. Experience in GenAI/LLM orchestration is a strong plus.

Skills:

Proficiency with orchestration tools/frameworks (e.g., Airflow, Prefect, LangChain, Dagster, Kubeflow, or similar).
Strong programming skills (Python preferred) for building and integrating orchestration pipelines.
Familiarity with Generative AI models (e.g., LLMs, diffusion models) and their deployment.
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Strong problem-solving and analytical skills to optimize workflows.
Excellent communication and collaboration skills to work across technical and non-technical teams.
Ability to balance innovation with reliability and compliance considerations.

Apply About employer

More about this job

Responsibilities

Design, integrate, and manage scalable orchestration workflows connecting AI models, APIs, tools, cloud environments, and human-in-the-loop processes for robotics data collection and annotation. Monitor and optimize pipeline performance and reliability, establish orchestration and lifecycle-management practices, and document technical standards while collaborating with technical and business stakeholders.

Requirements

A bachelor’s or master’s degree in computer science, data engineering, artificial intelligence, or a related field is required, or equivalent experience, along with at least three years of experience in AI/ML engineering, data engineering, or workflow orchestration. Candidates should have strong Python and orchestration-framework skills, familiarity with generative AI and cloud platforms, and knowledge of Docker or Kubernetes, plus strong analytical, communication, and collaboration abilities.

Skills

AI/ML Engineering
Workflow Orchestration
Python
Generative AI
LLM Orchestration
Airflow
Prefect
LangChain
Dagster
Kubeflow
Cloud Platforms
Docker
Kubernetes
Robotics Data Collection
Data Annotation
Pipeline Monitoring

Visa sponsorship

Not detected in the job text

Keywords

Robotics
Quality Assurance
Automation
Human-in-the-Loop
Egocentric Data Collection
Data Annotation
AI/ML Engineering
Workflow Orchestration
Generative AI
Large Language Models
Diffusion Models
Python
Airflow
Prefect
LangChain
Dagster
Kubeflow
APIs
Cloud Platforms
AWS
GCP
Azure
Docker
Kubernetes
Pipeline Monitoring
Versioning
Lifecycle Management
Scalability
Reliability
Data Engineering

Report this job