Jobs in Canada

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Added 1 day ago
CS
BI Developer & Data Engineer
Cynet Systems
Montreal, QC
- $40 to $45 CAD / hour
- Contract
We are seeking an experienced BI Developer & Data Engineer Contractor to design and implement scalable analytics solutions supporting the organization s manufacturing, engineering, and…
Added 1 day ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
As the senior-most individual contributor on the Forward Deployed Engineering (FDE) team, you will define and drive the technology strategy and roadmap for designing, building, and…
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Regina, SK
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Maintain technical documentation and follow data engineering best practices.
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Mississauga, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
JG
Senior Data Engineer
J&M Group
Toronto, ON
- Full-time
Strong Python programming and software engineering practices, including testing, code quality, and Git-based development workflows.
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Moncton, NB
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Laval, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Montreal, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Guelph, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Toronto, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
VE
Battery Development Scientist / Engineer
Volta Energy Inc.
Pickering, ON
- Full-time
…candidates who combine scientific knowledge with practical engineering instincts - individuals equally comfortable interpreting electrochemical data and working hands-on with laboratory…
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Calgary, AB
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
L
Senior Analyst - Retail Analytics
lululemon
Vancouver, BC
- Full-time
Work is performed onsite, minimum 4 days per week.
Added 1 day ago
GC
Data Engineer
Grand Challenges Canada
Toronto, ON
- Full-time
Technical Proficiency: 3+ years of experience in Data or Analytics Engineering. AI experience considered a bonus.
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Burlington, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Quebec, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
S
Computer Vision Solutions Leader
SoftServe
Canada
- Full-time
…environment. You will work closely with the client, internal engineering teams, and business development leaders to shape a cascading, self-improving recognition architecture and translate…
Added 1 day ago
NS
Senior Performance Test Lead / Specialist
N2P Systems
Toronto, ON · North York, ON
- $60 to $70 CAD / hour
- Contract
We are seeking a seasoned Senior Performance Testing Specialist / Lead with 8+ years of core performance engineering and load testing experience to drive the non-functional testing strategy…
Added 1 day ago
A
Test Development Engineer
Actalent
Newmarket, ON
- $40 to $60 CAD / hour
- Contract
…work. The position involves frequent manual movements such as data entry, mouse use, and calculator operation. You will have exposure to manufacturing areas and production environments,…
Added 1 day ago
RE
Staff Engineer Physical AI Systems
Renesas Electronics
Ottawa, ON
- Full-time
· Experience with simulation and real-world data collection, data quality, reproducible evaluation, and sim-to-real workflows; strong Python and C/C++ development skills in embedded, and…
Added 1 day ago
RE
Principal Engineer Physical AI Systems Modeling
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking a Principal Engineer (Physical AI - System Modeling) to join the Pathfinding Studio within the Engineering Innovation Office. As a principal contributor, you will define and…
Added 1 day ago
C
Electro-Optics Hardware Designer
Ciena
Ottawa, ON
- $96,600 to $154,400 CAD / year
- Full-time
The must haves:
Added 1 day ago
Senior Data Scientist, Customer Value Forecasting
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 1 day ago
Software Dev Engineer
Amazon
Toronto, ON
- Write clean, maintainable code (C, C++, Python, or Rust) following best practices for systems-level and performance-critical development

SoftServe

Computer Vision Solutions Leader

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Nov 11, 2026

Original job description

About The Role

In this role, you will lead the design and delivery of a Computer Vision and AI Proof of Technology (PoT) engagement - from validating the technical approach to proving it with measured evidence in a live, ambiguous early-stage environment. You will work closely with the client, internal engineering teams, and business development leaders to shape a cascading, self-improving recognition architecture and translate early, evidence-based results into a scalable path to production. The role requires a mix of deep technical work and customer-facing leadership, with direct, visible impact on whether an AI-driven solution scales beyond its first proof point.

Responsibilities

Lead end-to-end delivery of a Computer Vision PoT engagement - from discovery and solution architecture through model-cascade implementation, evidence-based evaluation, and the go/no-go decision on production scale-up
Translate an ambiguous, evolving set of client expectations into a scoped, achievable technical roadmap, and proactively re-shape that scope as early results come in
Act as a trusted advisor to client stakeholders, setting realistic expectations around what a PoT can and cannot prove, and communicating evidence-based results rather than overstated claims
Lead project delivery, while directing a small cross-functional team
Design and oversee a cascading model-training architecture (fast detection model → stronger teacher model → adjudication layer) with a learned routing rule for human review, and the evaluation harness used to measure it
Design and implement end-to-end MLOps pipelines on Azure that automate continuous model retraining based on the model cascade approach, covering data ingestion and versioning, labeling feedback loops, training, evaluation gates, model registration, deployment, and monitoring
Analyze the production domain, define triggers and policies for retraining cycles (e.g., drift detection, accuracy thresholds, volume of newly adjudicated labels) and ensure each cycle is reproducible, auditable, and measurable
Guide decisions on human-in-the-loop labeling strategy, retraining cycles, and quality-control audits, balancing labeling effort against measured accuracy gains
Support pre-sales and scale-up activities, including stakeholder workshops, readouts, proposals, and solution positioning for a subsequent production phase
Develop reusable frameworks, proofs-of-concept, and accelerators - particularly around model cascades, edge/geospatial inference, and lightweight evaluation harnesses - to improve scalability and reduce time-to-market for similar engagements
Establish best practices for model lifecycle management, versioned/rollback-capable model adapters, and deployment in cloud and edge environments
Demonstrate a creative mindset and comfort operating with incomplete information, where requirements, targets, and even the underlying hardware/regulatory environment may shift during delivery

Requirements

6+ years of experience in Computer Vision, Machine Learning, Deep Learning, or AI solution delivery, including at least one engagement taken from early proof-of-concept through a production or scale-up decision
Strong expertise in multimodal AI, generative AI, transformers, and vision-language models, with practical experience applying them as part of a model cascade (e.g., teacher/student distillation, adjudication, active learning)
Hands-on experience with Python and ML frameworks such as PyTorch, Pandas, NumPy, and cloud-based AI toolsets
Experience across the full AI model lifecycle, including experimentation, optimization, deployment, and inference, ideally including edge and post-deployment monitoring
Strong understanding of classical Computer Vision techniques, including camera calibration, feature matching, homography estimation, geospatial/georeferenced imagery, and image/video analytics
Experience deploying AI solutions within Azure, AWS, GCP, Kubernetes, OpenShift, or hybrid enterprise environments; familiarity with geospatial data stores (e.g., PostGIS) and/or Databricks is a plus
Familiarity with Infrastructure as Code (e.g., Terraform, Bicep) and containerized deployment using Kubernetes (AKS) or similar orchestration platforms; experience with edge orchestration (e.g., Azure IoT Edge, K3s) is a plus
Strong advisory and stakeholder management capabilities, with demonstrated experience setting and resetting expectations with non-technical or commercially demanding stakeholders
Excellent communication, collaboration, analytical, and problem-solving skills, with the ability to make and defend evidence-based recommendations rather than guaranteed outcomes
Understanding of enterprise software architecture, cloud computing, Big Data, SDLC, and the practical constraints (data availability, hardware, connectivity, regulatory) that shape AI adoption in the field
Expertise with GPU-accelerated technologies such as DeepStream, TensorRT, Triton Inference Server, ONNX, TAO Toolkit, or similar platforms is a plus
Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or related technical field preferred

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

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More about this job

Responsibilities

Lead end-to-end delivery of a Computer Vision proof-of-technology engagement, including solution architecture, model-cascade implementation, evaluation, and recommendations on production scale-up. Guide client stakeholders and a cross-functional team while building Azure MLOps pipelines, retraining processes, reusable accelerators, and deployment practices for cloud and edge environments.

Requirements

Requires 6+ years of experience in Computer Vision, Machine Learning, Deep Learning, or AI solution delivery, including experience taking an early proof of concept through a production or scale-up decision. Candidates should bring hands-on Python and ML framework experience, expertise in multimodal and vision-language AI, knowledge of classical Computer Vision and cloud or edge deployment, and strong advisory and communication skills; a relevant bachelor's degree is preferred.

Skills

Computer Vision
Machine Learning
Deep Learning
Multimodal AI
Generative AI
Transformers
Vision-Language Models
Python
PyTorch
MLOps
Azure
Model Cascade Architecture
Human-in-the-Loop Learning
Classical Computer Vision
Kubernetes
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Computer Vision
Artificial Intelligence
Machine Learning
Deep Learning
Multimodal AI
Generative AI
Transformers
Vision-Language Models
Python
PyTorch
Pandas
NumPy
Azure
MLOps
Model Cascade
Teacher-Student Distillation
Active Learning
Human-in-the-Loop Labeling
Model Retraining
Drift Detection
Camera Calibration
Feature Matching
Homography Estimation
Geospatial Imagery
Kubernetes
Terraform
Bicep
Databricks
PostGIS
TensorRT

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Work requirements

Jobs in Canada