4 meilleures offres (ai/ml engineer, victoria, bc) (à pourvoir)

Data Engineer II
Opensignal —Victoria, BC
- De 80 000 $ à 100 000 $ par an
- Télétravail
- Java
- Bases de données
- SQL
- Bourses d'Études
- Travail à domicile
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Senior Data Architecture Consultant – Enterprise Data, Governance & AI
CGI —Victoria, BC
- De 85 000 $ à 160 000 $ par an
- Temps plein
- Azure
- SQL
- Expérience en supervision
- Régimes de participation aux bénéfices
- Heures d’arrivée et de départ flexibles
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Staff Software Architect
Kano —Victoria, BC
- De 140 000 $ à 200 000 $ par an
- Sur appel
- Télétravail
- DevOps
- AWS
- JavaScript
- Assurance Dentaire
- Assurance Vision
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Senior Manager, Cyber Security Product & Innovation
British Columbia Investment Management Corporation (BCI) —Victoria, BC
- De 135 000 $ à 160 000 $ par an
- Temps plein
- Azure
- Informatique
- Développement logiciel
- Assurance Dentaire
- Congés payés

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Lead Scientist - Applied ML
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De 79 000 $ à 131 000 $ par an
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Senior Business Analyst – Artificial Intelligence (AI, ML)
APPTOZA INC. —Toronto, ON
Data Engineers, Facilitate understanding of business context for model development. Conduct feasibility analysis including cost-benefit, ROI, and risk…
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il y a 7 jours

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Data Engineer II

Opensignal -
Victoria, BC

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Détails du poste

Permanent
De 80 000 $ à 100 000 $ par an

Profil recherché

Spark
Java
Bases de données
SQL
AWS
Systèmes distribués
Scala
Réseaux informatiques
S3
Redshift
Intelligence artificielle
Entrepôt de données
Python

Description complète du poste

Starting base salary $80,000 - $100,000 CAD
Plus Bonus, Equity & Benefits

Opensignal’s salary ranges are determined by role, level, and location. The range reflects the typical starting salaries for new hires and does not reflect that maximum salary for the role over time.

Build data products that shape global telecom decisions
At Opensignal, we don’t just process data, we turn billions of real-world data points into the insights that drive how telecom operators compete, invest, and grow.
We’re looking for a Data Engineer who wants to do meaningful work at scale. If you enjoy building robust pipelines, solving complex data problems, and seeing your work directly influence real-world strategy, this role is for you.

What you’ll do

Own and scale data pipelines processing massive datasets using Spark and Scala on AWS
using agentic AI tools.
Transform raw data into high-impact insights used by global customers and analysts
Design and build resilient data systems with a focus on performance, quality, and reliability
Partner with Data Scientists, Product, and Analytics teams to turn ideas into production-ready data products
Debug, optimise, and continuously improve pipelines through deep root cause analysis
Champion engineering best practices, testing, CI/CD, and clean, maintainable code

Why this role stands out

Real impact: Your work directly influences customer acquisition and retention strategies for major telecom players
True ownership: You won’t just contribute; you’ll own pipelines and shape how data flows across products
Scale & complexity: Work with large, messy, real-world datasets—not toy problems
Collaborative environment: Work closely with highly skilled Data Scientists and Engineers globally
Growth opportunity: Stretch into more senior responsibilities as you deepen your expertise

What you bring

2–5+ years building data pipelines with Apache Spark
Strong coding skills in Scala (or Java with willingness to learn Scala)
Confidence writing complex, performant SQL
Hands-on experience with AWS (S3, EC2, EMR or similar)
A solid understanding of data pipelines, ETL/ELT, and distributed systems
A natural curiosity, you enjoy digging into data issues and figuring out the “why”
Strong collaboration skills, you’re comfortable working across teams

Nice to have (but not essential)

Experience in full agentic AI coding using Codex or Claude.
Experience with Airflow or similar orchestration tools
Exposure to Python for data workflows
Familiarity with Redshift, Athena, or other analytical databases
Experience with ML/data science workflows in production

About Us
Opensignal is the leading global provider of independent insight and data into network experience and market performance. Our user-centric approach allows communication providers to constantly improve their network and maximise commercial performance. Leading analysts, investors and financial institutions place a high value on our independent analysis and we are regular contributors to their reports.

Real network experience is our focus and ultimately that’s what influences customer choice. Our mission is to advance connectivity for all and here at Opensignal, the team is leading the industry in enabling operators to link their network experience and market performance in a way that has never before been possible.

With offices in London, Boston Victoria, British Columbia, and Warsaw, and employees around the world, we are a truly global organization. We are an equal-opportunity employer dedicated to building an inclusive and diverse workforce.

Benefits
We believe we are stronger when we not only celebrate our many differences, values, and voices but also include them in everyday practice. Having a diverse and inclusive culture is essential, which is why we offer a flexible approach to work-life balance, operating in a remote-hybrid way. We’ll help you get set up with the essentials you need to work from home or the office. We also offer an attractive range of additional benefits, including:

Competitive compensation packages; including a long-term equity program.
Comprehensive group benefits package.
Company sponsored retirement savings plan.
Professional development opportunities: education reimbursement, learning allowance, company-sponsored workshops, and more!
Generous holiday allowance, sick leave, parental leave, flexibility including Summer Fridays, and the opportunity to work from abroad.
Charity matching and time off for community volunteering.
Regular virtual and in-person events and socials.

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ai/ml engineer emplois - victoria, bc

Data Engineer II

Senior Data Architecture Consultant – Enterprise Data, Governance & AI

Staff Software Architect

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