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Added 1 month ago
UR
Principal Quality Architect
Urban Ridge Supplies
Toronto, ON
- Full-time
Polyglot Development: Write and test production-grade code across multiple languages and paradigms (e.g., TypeScript, Python, Go, .NET, Java) based on specific problem domains. Ramp into…
Added 1 month ago
UR
Software Engineer, Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Senior engineering ability: Write clean, documented code (Python, Go, JavaScript, etc.) and use agentic coding tools (Claude Code, Codex etc) as a core part of your development workflow -…
Added 1 month ago
GV
Senior AI/ML Applications Architect
GE Vernova
Markham, ON
- Full-time
Expertise of GraphDB, SQL/NoSQL, MS Access databases.
Added 1 month ago
A
Staff Marketing Technology Engineer
Absorb
Remote, Canada
- Full-time
- Remote
Expertise in SQL and Python, and proven experience designing and implementing ETL/ELT processes and pipelines (batch and streaming) and integrating with APIs.
Added 1 month ago
Staff UX Researcher
Okta
Toronto, ON
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 1 month ago
O
Staff UX Researcher
Okta
Toronto, ON
- $140,000 to $193,000 CAD / year
- Full-time
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 1 month ago
EC
Développeur(euse) QA sénior / Senior QA Developer
Eaton Corporation
Brossard, QC
- Full-time
Eaton's Electrical Engineering Services and Systems division is currently seeking a motivated Senior QA Developer for its ADPS Platform. This role is based at our Eaton Americas Innovation…
Added 1 month ago
D
Senior Specialist, Client & Market Analytics
Deloitte
Toronto, ON
- Full-time
Added 1 month ago
D
Senior Specialist, Market Model
Deloitte
Toronto, ON
- Full-time
Proficiency with analytical languages and tools such as Python, R, SQL, Excel and Power BI, with experience automating data preparation, modelling or reporting workflows.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
E
Senior Analyst, Global Research - 26385
Enverus
Calgary, AB
- Full-time
Highly computer literate with advanced skills in Microsoft Excel, Python, and/or SQL
Added 1 month ago
RI
Full Stack Software Engineer
Remarcable, Inc.
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
Feature Engineering: Build and launch end-to-end features across Python/Django backends, Angular frontends, and SQL schemas.
Added 1 month ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Analyze and understand business and data requirements to develop complete ETL solutions under the guidance of senior peers and tech leads.
Added 1 month ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Analyze and understand business and data requirements to develop complete ETL solutions under the guidance of senior peers and tech leads.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Calgary, AB
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 1 month ago
A
Senior Backend Engineer
Apollo.io
Canada
- Full-time
As a Senior Software Engineer, you will be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process.…
Added 1 month ago
AI
AI Platform Engineering Lead
AGF Investments
Toronto, ON
- Full-time
The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions…
Added 1 month ago
ES
Senior Product Analyst - EA Sports FC
EA SPORTS
Vancouver, BC
- Full-time
The FC Data & Analytics team is seeking a Senior Data Analyst to join our Ultimate Team (UT) function. Reporting to a Senior Manager, you will collaborate closely with production and…
Added 1 month ago
NB
Senior AI Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Data scientist in the
Added 1 month ago
WS
Program Analyst Operations Quality & Evaluation (12-Month Temporary)
Workplace Safety and Insurance Board (WSIB)
Toronto, ON
- Temporary
Provide insights and recommendations to management and senior leaders.
Added 1 month ago
P
Senior Manager, AdTech Engineering
Pelmorex
Oakville, ON
- Full-time
…Dataflow), cloud data warehouses (BigQuery/GCP, and Snowflake), SQL, and event-streaming pipelines…

GE Vernova

Senior AI/ML Applications Architect

Markham, ON, Canada

For candidates applying to a Canadian-based position, the pay range for this position is between $126,000 and $189,000 CAD. · Full-time

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Job details

Pay: For candidates applying to a Canadian-based position, the pay range for this position is between $126,000 and $189,000 CAD.
Job type: Full-time
Experience: Minimum of 7 years of hands-on experience within software engineering, AI/ML development and/or architectural roles.
Posting language: English
Posted: Sep 14, 2026

Original job description

Job Description Summary

GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world?

We are seeking a highly skilled Sr AI/ML Applications Architect to lead the design, development and deployment of advanced machine learning (ML) and generative AI solutions. The role combines deep technical expertise in AI/ML architecture with leadership responsibilities, requiring someone who can drive innovation from concept to production while managing high-performing project teams. This role will also involve developing Proof of Concepts (PoCs) and ensuring the deployment of models on the edge or cloud-based systems.

The role reports directly to the Director of Data Analytics and AI Solutions in the Grid Automation CTO organization and will collaborate closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions to drive efficiency and innovation.

Job Description

Responsibilities:

Design and architect scalable AI/ML solutions, including generative AI applications, tailored to grid automation and digitalization technologies as well as business efficiency. Ensure optimal performance of these solutions across edge and cloud deployment environments.
Establish architectural standards, best practices and technical guidelines for AI/ML development across the CTO organization in collaboration with GEV AI/ML partners.
Build a strong technical foundation with architecture built on modular/microservices, cloud/edge, API 1st, privacy by design philosophies; infrastructure concepts of containerization, orchestration, auto-scale capabilities (compute, storage, network) and infra-as-code; development concepts of automation (CI/CD, data and MLOps pipelines), code assist and sandboxes for collaboration + experimentation.
Design and deploy on GE GridNode/edge platforms, using container and microservices principles and best practices. Develop and implement strategies for optimizing performance of models in production.
Collaborate with cross-functional teams to integrate AI/ML capabilities into existing platforms and develop new intelligent business efficiency and product line solutions.
Stay current with state-of-the-art developments in AI/ML, generative AI and energy systems technology through continuous monitoring of research and industry trends.
Evaluate and recommend emerging technologies and methodologies (AIML tools, platforms, vendor solutions) for their potential application to grid automation challenges and business opportunities; design, execute and demo proof-of-concepts (PoCs) to validate new AI/ML approaches and assess their feasibility for energy system applications.

Required Qualifications:

Minimum of a Bachelor's degree in Computer Science, Electrical Engineering, Data Science or related technical field.
Minimum of 7 years of hands-on experience within software engineering, AI/ML development and/or architectural roles.

Desired Characteristics:

Proven expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and generative AI technologies (LLMs, SLMs, diffusion models, GANs).
Proven experience in applying AI/ML frameworks/workflows, AI/MLOps and CI/CD using cloud-native and on-prem development and deployment in operational technology/industrial automation environments.
Experience developing and implementing ML models using cloud MLOps pipelines such as AWS Sagemaker, Azure ML, Google VertexAI, Dataiku Cloud or equivalent.
Hands-on professional experience in developing and testing AI/ML algorithms and demonstrated professional experience with grid/physics models in power system simulation tools, MATLAB/PSCAD; as well as power system analysis SW such as PSS/E, Digsilent or equivalent.
Experience with DevOps, data pipelines, Azure ML registry, deployment methods (Docker, K8s, etc.).
Proven experience designing solutions that include the full AI/ML project lifecycle: data acquisition (real-time/streaming, batch and response/request), data quality assurance + engineering, model selection and evaluation, tuning, testing, deployment, maintenance and evolution.
Strong background in edge computing, IoT deployments and cloud platforms (AWS, Azure, GCP).
Expertise of GraphDB, SQL/NoSQL, MS Access databases.
Proficiency in programming languages including Python, C# or C++ as well as scientific programming + simulation tools such as MATLAB or R.
Experience with time-series analysis, signal processing, load forecasting and predictive modeling relevant to energy systems and grid operations.
Proven track record of successfully delivering complex AI/ML projects from conception to deployment.
Track record of applying research insights to solve real-world business problems and deliver commercial solutions; ability to balance innovation with practical implementation constraints and business requirements.
Understanding of industrial IoT, edge computing requirements and real-time data processing in critical infrastructure environments.

For candidates applying to a Canadian-based position, the pay range for this position is between $126,000 and $189,000 CAD. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

Bonus eligibility: discretionary annual bonus.

This posting is for an new vacancy.

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More about this job

Responsibilities

The Senior AI/ML Applications Architect will lead the design, development, and deployment of scalable machine learning and generative AI solutions for grid automation. They will collaborate with cross-functional teams to integrate these technologies into existing platforms while establishing architectural standards and best practices.

Requirements

Candidates must hold a minimum of a Bachelor's degree in a technical field and possess at least 7 years of hands-on experience in software engineering or AI/ML development. Proficiency in machine learning frameworks, cloud-native deployment, and industrial automation environments is required.

Skills

Machine learning
Generative AI
Software architecture
Cloud computing
Edge computing
Python
C#
C++
TensorFlow
PyTorch
MLOps
CI/CD
Microservices
Data analytics
Grid automation
Predictive modeling

Benefits

Discretionary annual bonus

Visa sponsorship

Not detected in the job text

Keywords

AI/ML
Generative AI
Grid Automation
Cloud-native
Edge Computing
Microservices
MLOps
CI/CD
Python
C#
C++
TensorFlow
PyTorch
AWS
Azure
Google VertexAI
Docker
Kubernetes
GraphDB
MATLAB
PSCAD
Industrial IoT
Predictive Modeling
Data Pipelines
Infrastructure-as-code
Containerization
Energy Systems
Digitalization
Software Engineering
Algorithm Development

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