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Added 2 mins ago
PC
Transfer Pricing - Financial Transactions, Manager
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Toronto, ON
- Full-time
…compliant, tax efficient structures that help advance their business goals. You’ll focus on all aspects of documentation, planning, dispute resolution, and advance pricing…
Added 2 mins ago
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- Full-time
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Added 16 mins ago
H
Global Payroll Transformation Business Analyst
Hays
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Our client is seeking an experienced HRIS Business Analyst to join our global Financial Application Support Team, which is responsible for supporting and evolving our strategic HR, payroll,…
Added 16 mins ago
VG
Executive Assistant
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- Full-time
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Added 16 mins ago
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Added 16 mins ago
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Added 16 mins ago
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Sales Representative & Technical Support
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- Full-time
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- Full-time
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Added 17 mins ago
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Added 31 mins ago
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JAVA Holdings Ltd.

AI/ML Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Experience: 3–5 years of relevant experience in software engineering, AI/ML engineering or applied AI development
Posting language: English
Posted: Nov 3, 2026

Original job description

Position Summary

The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.

The role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.

Key Responsibilities

Design and develop AI applications, LLM-powered solutions, RAG systems and AI agents
Build intelligent workflows and integrate AI capabilities with enterprise applications, APIs and data sources
Liaise with the data and analytics team to develop data pipelines and prepare structured and unstructured data for AI and machine learning applications
Develop and evaluate machine learning models for forecasting, classification, prediction and other business use cases
Deploy, monitor and maintain AI applications and models in production environments
Implement testing, version control, CI/CD, monitoring and MLOps practices to ensure solution reliability and maintainability
Evaluate AI solution quality, performance, accuracy, cost and scalability
Apply security, privacy, access control and responsible AI principles in accordance with enterprise policies
Liaise with other teams to maintain technical documentation and contribute to continuous improvement of enterprise AI solutions

Key Competencies

Analytical thinking and problem-solving.
Strong software engineering and technical design skills.
Business-oriented approach to solution development.
Effective communication and collaboration.
Attention to security, quality and maintainability.
Adaptability and continuous learning.

Qualifications

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent practical experience
3–5 years of relevant experience in software engineering, AI/ML engineering or applied AI development
Strong programming skills in Python and working knowledge of SQL
Practical experience with LLMs, AI APIs, prompt engineering and RAG concepts
Experience with APIs, data integration, data preparation and software development practices
Familiarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable services
Understanding of deployment practices, automated testing, version control and MLOps
Knowledge of AI evaluation, data privacy, application security and responsible AI principles
Legally eligible to work in Canada

Nice to have

Experience with AI frameworks such as LangChain, LlamaIndex or Semantic Kernel
Familiarity with vector databases, embeddings, semantic search and AI agent orchestration
Experience with Microsoft 365, Azure AI services, Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning or Microsoft Power Platform and enterprise document management systems
Exposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelines
Relevant cloud, AI or machine learning certifications
Kubernetes and infrastructure-as-code (Terraform)
Fine-tuning and LLM evaluation frameworks
Experience in a regulated enterprise setting

Extended Healthcare Plan (Medical, Disability, Dental & Vision)
Group RRSP
Group Life - AD&D - Critical Illness Insurance
Training & Development
Employee Assistance Program - Counseling
Paid Time Off

Apply About employer

More about this job

Responsibilities

Design, build, integrate, and deploy AI/ML applications, LLM and RAG solutions, AI agents, workflows, and predictive models for enterprise use cases. Maintain production solutions through testing, MLOps, monitoring, security, performance evaluation, documentation, and collaboration with business, data, development, and IT teams.

Requirements

Requires a bachelor's degree in a relevant field or equivalent practical experience, 3–5 years of relevant experience, strong Python skills, and working knowledge of SQL. Candidates should have practical experience with LLMs, AI APIs, prompt engineering, RAG, data integration, cloud AI platforms, deployment practices, MLOps, security, privacy, and responsible AI.

Skills

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Prompt Engineering
Machine Learning
Data Pipelines
API Integration
Azure OpenAI
MLOps
CI/CD
Model Evaluation
Application Security
Responsible AI

Benefits

Extended Healthcare Plan
Medical Insurance
Disability Insurance
Dental Insurance
Vision Insurance
Group RRSP
Group Life Insurance
Accidental Death and Dismemberment Insurance
Critical Illness Insurance
Training and Development
Employee Assistance Program
Counseling
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Workflow Automation
Predictive Analytics
Python
SQL
Azure
Azure OpenAI
Azure AI Services
Azure AI Foundry
Azure Machine Learning
Microsoft Power Platform
Microsoft 365
LangChain
LlamaIndex
Semantic Kernel
Vector Databases
Embeddings
Semantic Search
MLOps
CI/CD
Docker
Kubernetes
Terraform
Fine-Tuning
Responsible AI

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