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Added 11 mins ago
Data Analyst (Two Open Roles)
Canadian Tire Corporation
Mississauga, ON
Full-time
Lead and support data migration initiatives, including transitioning data from SQL Server environments to enterprise data warehouses (e.g., IHUB), ensuring scalable, reliable, and…
Added 11 mins ago
Production Support Engineer
Millennium Software and Staffing Inc
Toronto, ON
Contract
● Database (SQL database management, MongoDB)
Added 11 mins ago
Programming Analyst
BuzzClan
Fredericton, NB
Contract
An experienced Programmer Analyst with strong hands-on experience in CA Gen, PL/SQL, Java, Oracle, and SQL Server, supporting and enhancing enterprise healthcare applications.
Added 11 mins ago
Python Fullstack Developer
Genpact
Montreal, QC
$70,000 to $80,000 CAD / year
Full-time
Strong Python, REST API, SQL, Linux, and shell scripting experience.
Added 11 mins ago
FX Production Support Consultant
Open Systems Technologies
Mississauga, ON
Contract
Good all-round technical skills in Linux, Database/SQL, Networking , and basic understanding of any scripting language.
Added 11 mins ago
Python Developer
Smart IT Frame LLC
Mississauga, ON
Full-time
We are looking for a motivated and detail-oriented Python developer with 6-8+ years of experience to join our development team. The ideal candidate will contribute to designing, developing…
Added 11 mins ago
AI Engineer With Python - 8 Years
J2B Global LLC
Mississauga, ON
Full-time
Strong Python development experience with FastAPI or Flask and experience building production-grade AI/LLM applications. Solid SQL, data modeling, and data engineering fundamentals.
Added 13 mins ago
Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
Added 13 mins ago
AI Engineer, Winter 2027 (Co-op/Internship) - 8 months
BMO
Toronto, ON · BMOPLACE
Full-time
Added 13 mins ago
Senior Software Engineer (Java)
Mastercard
Vancouver, BC
Full-time
We are looking for a Senior Software Developer to join our DMP team in Vancouver office.
Added 13 mins ago
Senior Oracle Budgeting and Planning (PBCS) Specialist
NTT DATA Services
Toronto, ON
Experience in automation including REST API calls, SQL or EPMAutomate is preferred.
Added 27 mins ago
Cloud Database Administrator - 12-Month Contract
FNZ Group
Toronto, ON · CA Toronto Yonge St
$79,000 to $110,000 CAD / year
Full-time
This role is technical in nature and focuses on building and maintaining Microsoft SQL Server and Postgres databases. You will be responsible for the delivery of database support services…
Added 42 mins ago
Full Stack Developer - .NET (Intermediate)
Avant Imaging & Information Management, Inc.
Toronto, ON · Scarborough, ON
Full-time
Reporting to the VP, Solutions & Delivery, we are looking for a talented and motivated Full Stack Developer – .NET to join our development team. The ideal candidate will have strong…
Added 42 mins ago
Lead Quant Analyst - Model Risk Management
Hallmark Global Solutions Ltd
ON · Ontario, Canada
Full-time
We are looking for a Risk model developer to join us in Toronto
Added 42 mins ago
Data Engineer, Early Career - 2026 (CAN)
Amazon
Toronto, ON
Full-time
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Added 42 mins ago
Golang Engineer
Jobright.ai
Canada
Full-time
Exposure to Go testing tools, SQL databases, or REST API development
Added 42 mins ago
Data Analyst, Growth Analytics - Entry Level
Jobright.ai
Canada
Full-time
Added 42 mins ago
Cloud Database Administrator - 12-Month Contract
FNZ
Toronto, ON
$79,000 to $110,000 CAD / year
Full-time
This role is technical in nature and focuses on building and maintaining Microsoft SQL Server and Postgres databases. You will be responsible for the delivery of database support services…
Added 42 mins ago
C# Senior Developer - OTT Team (French Services) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Added 42 mins ago
Senior Backend Developer (Java + Databricks)
Blutic
Montreal, QC
Full-time
Blutic is looking for experienced Senior Backend Developer (Java + Databricks) with 7 to 15 years of experience to join our high-performing engineering team. The ideal candidate will have…
Added 42 mins ago
Marketing Engineer & Director of AEO
Notified
Toronto, ON · Greater Toronto Area, Canada
Full-time
HTML, CSS, JavaScript, TypeScript, Python, SQL, or similar languages used to inspect, automate, and improve web and data systems.
Added 43 mins ago
Senior Applications Analyst - IT
Wolf Midstream
Calgary, AB
Working knowledge of SQL, APIs, enterprise application integrations, data mapping, interface monitoring, data validation, error handling, and technical troubleshooting
Added 1 hour ago
WideOrbit Technical Analyst / Developer : Toronto, ON (Onsite) : FTP
AceStack
Toronto, ON
Full-time
We are seeking an experienced WideOrbit Technical Analyst / Developer with 3+ years of hands-on experience supporting and developing WideOrbit applications. The ideal candidate will have…
Added 1 hour ago
Sr. Java Developer (FULL STACK)
Themesoft Inc.
Calgary, AB
Contract
Utilize Oracle and PL/SQL for database management, ensuring data integrity and optimal performance
Added 1 hour ago
Software Engineer- Global Payments Engineering
Scotiabank
Toronto, ON
5+ years of experience in developing custom software with Java, Python, JavaScript, C#, C++, Shell Scripts, SQL/ESQL.

GE Vernova

Senior AI/ML Applications Architect

Markham, ON, Canada

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

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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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