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LI
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La capacité de déplacer jusqu’à 50 lb et à être constamment en déplacement pendant un quart de travail complet
Added 48 mins ago
LI
Épicerie Commis temps partiel jour Embauche feu vert
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La capacité de déplacer jusqu’à 50 lb et à être constamment en déplacement pendant un quart de travail complet
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La capacité de déplacer jusqu’à 50 lb et à être constamment en déplacement pendant un quart de travail complet
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Épicerie Commis temps partiel jour Embauche feu vert
Loblaws Inc.
Huntingdon, QC
- Part-time
La capacité de déplacer jusqu’à 50 lb et à être constamment en déplacement pendant un quart de travail complet
Added 3 hours ago
LI
Épicerie Commis temps partiel jour
Loblaws Inc.
Huntingdon, QC
- Part-time
La capacité de déplacer jusqu’à 50 lb et à être constamment en déplacement pendant un quart de travail complet
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AeroVect

Software Engineer, ML Ops

Remote, Canada

Remote

$123,828 to $154,785 CAD / year · Full-time

Apply on jobs.ashbyhq.com About employer

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Job details

Pay: $123,828 to $154,785 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems
Posting language: English
Posted: Nov 6, 2026

Original job description

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

You will

Build and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleet
Convert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasets
Set up training workflows and optimize cloud costs
Build tooling to accelerate perception engineers' workflows - fast data access, reproducible experiments, automated evaluation pipelines
Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability

You have

Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field
Strong Python proficiency and working knowledge of ROS2
Working knowledge of docker and other DevOps tools
Familiarity with cloud storage and compute (AWS - S3, EC2, etc.)
Understanding of ML workflows and dataset versioning

We Prefer

Master's in Computer Science, Robotics, or a related discipline
2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems
Experience with Weights & Biases, rosbag data, and large-scale sensor datasets
Working knowledge of C/C++
Experience supporting perception or ML research teams

Please note this role will be based onsite in Toronto

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

You will build and maintain data pipelines to ingest and curate field data while optimizing cloud costs and training workflows. Additionally, you will develop tooling to accelerate perception engineers' workflows and generate metrics to track model performance.

Requirements

The role requires a Bachelor's or Master's degree in Computer Science, Robotics, or a related field, along with strong Python proficiency. Candidates should have experience with ROS2, Docker, cloud storage, and MLOps practices.

Skills

Python
ROS2
Docker
DevOps
AWS
S3
EC2
MLOps
Data infrastructure
Weights & Biases
Rosbag
Sensor datasets
C++
Data pipelines
Dataset management

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
ML Ops
Autonomy
Aviation
Autonomous driving
Data pipelines
Rosbags
Sensor logs
Telemetry
Perception
Dataset management
Cloud storage
AWS
S3
EC2
ML workflows
Dataset versioning
Robotics
Data engineering
Python
ROS2
Docker
DevOps
Weights & Biases
C++
Sensor datasets
Model performance
Pipeline reliability

Seniority

Mid level

Tools

ROS2
Docker
AWS S3
AWS EC2
Weights & Biases

Languages

English

Fields of study

Computer Science
Robotics
Data Engineering

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