Jobs in Canada

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Added 1 month ago
FS
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…
Added 1 month ago
Data Scientist
Lantern
Edmonton, AB
Explore and prepare structured and unstructured data; perform feature engineering, statistical analysis, and model selection using Python, SQL, Spark, and Databricks notebooks.
Added 1 month ago
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Software Engineer: Product Quality
Fiscal.ai
Remote, Canada
- Full-time
- Remote
Added 1 month ago
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Firmware Developer
Miovision
Remote, Canada
- $85,000 to $115,000 CAD / year
- Full-time
- Remote
The Embedded Engineer: You bring solid embedded and firmware design experience, backed by strong programming chops in C/C++ and Python.
Added 1 month ago
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Staff Data Scientist, Applied ML
Jobber
Remote, Canada
- Full-time
- Remote
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 1 month ago
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Software Engineer – Messaging & Async Platform Infrastructure
Deel
Canada
- Full-time
We are looking for a Software Engineer to join our Infrastructure – Messaging & Async Platform team, focused on building and scaling our messaging and asynchronous communication platform.
Added 1 month ago
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Senior Data Engineer
RBC
Vancouver, BC
- Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 1 month ago
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Systems Engineer – End-to-End Software Diagnostics & Observability
Vertage
Ottawa, ON · Kanata, ON
- Contract
Job title: Systems Engineer – End-to-End Software Diagnostics & Observability
Added 1 month ago
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Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala
Added 1 month ago
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Cloud Vulnerability Remediation Engineer
Insight Global
Toronto, ON
- $60 to $82 CAD / hour
- Contract
1) Strong programming or scripting experience with Python, Go, Bash, or similar languages, with the ability to read, troubleshoot, and modify code
Added 1 month ago
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AI Engineer
Astek
AB · Edmonton, AB
- $130,000 to $178,000 CAD / year
- Full-time
🏢 Work Model: Hybrid (2 days per week in the office) · 🏢 Mode de travail : Hybride (2 jours par semaine au bureau)
Added 1 month ago
Senior Software Engineer - Platforms & Infrastructure
Tubi - Canada
Toronto, ON
As a Senior Software Engineer on the Infrastructure team, you will design, build, and operate the core platforms that all Tubi services run on: compute, networking, traffic, deployments,…
Added 1 month ago
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Senior Full Stack Software Developer
Mecka
Remote, Canada
- $165,000 to $200,000 CAD / year
- Full-time
- Remote
We're hiring a Senior Full Stack Software Engineer based in Toronto to build and ship production web applications that power Mecka’s global operations.
Added 1 month ago
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Senior Python Engineer
Luxoft
Toronto, ON
- Full-time
…This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver…
Added 1 month ago
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DevOps Engineer II
commonsku
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
We’re growing - and we’re hiring an intermediate DevOps Engineer to join our Engineering team! In this role, you’ll play a key role in supporting both internal Engineering teams and our…
Added 1 month ago
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(Python) AI Engineer - Vice President
Citi
Mississauga, ON
- Full-time
Must have Full stack -Java backend, React or Angular frontend experience
Added 1 month ago
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Linux Desktop Engineer
Celestica
Toronto, ON
- Full-time
The Linux Desktop Engineer will own the design, deployment, configuration, and structural maintenance of Celestica's high-performance Linux computing platform. This role directly supports…
Added 1 month ago
RB
Lead ML Platform Engineer
Royal Bank of Canada
Calgary, AB
- Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 1 month ago
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Data Platform Engineer
Xanadu
Toronto, ON
- Full-time
As a Data Platform Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and…
Added 1 month ago
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Senior Photonic Engineer – Experimentalist
Xanadu
Toronto, ON
- Full-time
We are seeking a Senior Photonic Engineer – Experimentalist to participate in designing, developing and experimentally validating cutting-edge photonic systems. Your primary focus will be…
Added 1 month ago
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Software Engineer Co-op Student (4-months contract)
Foresters Financial
Toronto, ON
- Full-time
The Software Engineer Co-op in IT offers an opportunity to build a wide variety of enterprise applications within a team-based environment. As a co-op student, you will work closely with…
Added 1 month ago
RB
Principal AI Engineer
Royal Bank of Canada
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 1 month ago
KA
Lead Full-Stack GenAI Developer (Contractor)
KData AI
Toronto, ON
- Full-time
…you will own the full-stack development - spanning backend Python services, frontend interfaces, retrieval pipelines, AI agents, enterprise integrations, and…
Added 1 month ago
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DevOps Engineer
ZTR
London, ON
- Full-time
As the DevOps Engineer, you will work closely with development, security, and IT teams to operate, maintain, and continuously improve ZTR’s cloud platform infrastructure, ensuring reliable,…

Lantern

Data Scientist

Edmonton, AB, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Experience: 5+ years of experience developing and delivering data science, machine learning, or AI solutions, preferably in consulting or other client-facing environments.
Posting language: English
Posted: Sep 29, 2026

Original job description

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.

Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.

As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

Lantern is seeking a hands-on, client-facing Senior Data Scientist to design, develop, and operationalize advanced analytics, machine learning, generative AI, and agentic AI solutions using Azure Databricks and the Microsoft data and AI ecosystem. You will partner with client stakeholders, data engineers, architects, and application teams to translate business problems into secure, governed, scalable, and explainable AI solutions - from experimentation and feature engineering through deployment, monitoring, and measurable adoption.

Key Responsibilities

Lead discovery sessions to define analytical problems, success metrics, data requirements, experimentation plans, and production roadmaps.
Explore and prepare structured and unstructured data; perform feature engineering, statistical analysis, and model selection using Python, SQL, Spark, and Databricks notebooks.
Build, evaluate, and tune predictive, forecasting, optimization, natural language processing, computer vision, generative AI, and agentic AI solutions.
Use Azure Databricks capabilities such as Delta Lake, Unity Catalog, MLflow, Feature Engineering, Model Serving, Mosaic AI, and vector search to create governed, production-ready solutions.
Integrate solutions with Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Fabric, OneLake, Power BI, and Azure services as appropriate.
Implement MLOps and LLMOps practices including source control, automated testing, CI/CD, model registration, deployment, monitoring, drift detection, responsible AI, and cost optimization.
Communicate findings and model behavior through clear visualizations, executive-ready narratives, demonstrations, and technical documentation.
Own assigned workstreams, manage risks and dependencies, and collaborate with client teams to drive adoption and measurable business outcomes.
Contribute to proposals, reusable accelerators, technical standards, peer reviews, mentoring, and the growth of Lantern’s Databricks and Microsoft AI practices.

Skills, Knowledge and Expertise

5+ years of experience developing and delivering data science, machine learning, or AI solutions, preferably in consulting or other client-facing environments.
Strong hands-on experience with Azure Databricks for data preparation, distributed model development, experiment tracking, model lifecycle management, and production deployment.
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Strong foundation in statistics, supervised and unsupervised learning, feature engineering, model evaluation, explainability, and experimental design.
Experience developing generative AI solutions using large language models, retrieval-augmented generation, embeddings, vector databases, prompt engineering, evaluation, and agentic patterns.
Working knowledge of Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Fabric, OneLake, Power BI, and the broader Azure data and AI ecosystem.
Experience with MLOps or LLMOps, CI/CD, model serving and monitoring, data governance, Unity Catalog, security, responsible AI, performance, and cost optimization.
Strong consulting, communication, visualization, documentation, problem-solving, and stakeholder-management skills, with the ability to explain complex models to technical and executive audiences.

Preferred Certifications and Credentials

Databricks Certified Machine Learning Professional or Machine Learning Associate
Databricks Certified Generative AI Engineer Associate
Databricks Certified Data Engineer Associate or Professional
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Fabric Data Engineer Associate (DP-700) or Fabric Analytics Engineer Associate (DP-600)
Databricks Solutions Architect Champion is highly preferred and considered a strong differentiator

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

Lead the design, development, and operationalization of advanced AI and machine learning solutions within the Microsoft ecosystem. Collaborate with client stakeholders and technical teams to translate business problems into scalable, governed, and explainable analytical solutions.

Requirements

Requires 5+ years of experience in data science or AI consulting with strong proficiency in Azure Databricks, Python, and SQL. Candidates should possess a solid foundation in statistics, MLOps practices, and experience with generative AI and large language models.

Skills

Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Azure OpenAI
Microsoft Fabric
Data Governance
Statistical Analysis
Feature Engineering
Consulting
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Azure OpenAI
Microsoft Fabric
Delta Lake
Unity Catalog
MLflow
Mosaic AI
Vector Search
Azure AI Foundry
Power BI
Data Governance
Statistics
Feature Engineering
Consulting
CI/CD
Databricks Certified
Azure Data Scientist Associate
Azure AI Engineer Associate
Predictive Modeling
Natural Language Processing
Computer Vision

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Jobs in Canada