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Added 4 mins ago
KD
Account Manager
Keurig Dr Pepper Canada
Calgary, AB
- $73,900 to $93,500 CAD / year
- Full-time
Added 4 mins ago
QD
Manager, Financial Planning & Analysis
Qu Data Centres
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
Added 4 mins ago
RP
Audit and Risk Officer
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Toronto, ON
- Full-time
Undertaking complex analytics to support key strategic initiatives for growth, innovation, risk assessment or risk mitigation
Added 4 mins ago
HI
Risk Analyst
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Toronto, ON
- Full-time
Superior/Expert in MS Office suite (ie – Word, Excel PowerPoint, Visio) and usage of reporting tools like Tableau, BI Analytics etc.
Added 5 mins ago
B
Accounting Manager
Brickeye
Toronto, ON
- $80,000 to $120,000 CAD / year
- Full-time
Added 5 mins ago
M
Senior Business Systems Analyst
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Added 5 mins ago
T
Program Manager, Carrier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
Added 19 mins ago
F
Technical Co-founder - AI for Automotive Retail
FutureSight
Canada
- Full-time
Added 19 mins ago
W
Senior Specialist, Item File (SQL/Python)
Walmart
Mississauga, ON
- Full-time
Bachelor's Degree or Diploma in Computer Science, Information Systems, Data Analytics, Software Engineering, Mathematics, Statistics, Business Technology, or a related field.
Added 19 mins ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 19 mins ago
Software Engineer, Backend
Lyft
Toronto, ON
Added 19 mins ago
AI Practise Lead (CCaaS)
Bell
Mississauga, ON
…integration, agent knowledge-assist), and speech/interaction analytics using platform-native tools (e.g., Genesys AI, Amazon Lex/Bedrock, NICE Enlighten, or Google…
Added 20 mins ago
EB
Bilingual Fraud Analyst - Cards
EQ Bank
Toronto, ON
- Full-time
Added 20 mins ago
BO
Senior Security Analyst
Bank of Canada
Ottawa, ON
- Temporary
Added 20 mins ago
UC
Program Officer
Universities Canada
Ottawa, ON
- Temporary
Added 20 mins ago
VS
Applied AI Engineer (Generative AI & Agentic Apps) - Onsite Only
Vivid Soft Global
Montreal, QC
- Contract
Added 20 mins ago
H
Director of Product Marketing (Hybrid)
Homebase
Toronto, ON
- $200,000 to $260,000 USD / year
- Full-time
Added 20 mins ago
TG
Senior Financial Analyst
TMX Group
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Automation & Modernization: Leverage modern tools, data analytics techniques, and AI-enabled workflows to automate recurring reporting deliverables, drive process efficiencies, and elevate…
Added 20 mins ago
BC
Principal Advisor, Finance Transformation and Special Projects
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time
Added 20 mins ago
WS
Director, Finance & Business Intelligence
Workplace Safety & Prevention Services
Toronto, ON · Greater Toronto Area, Canada
- $166,261.26 to $182,887.39 CAD / year
- Full-time
Added 20 mins ago
PI
Operations Analyst Trading Support
Portland Investment Counsel Inc.
Burlington, ON
- Full-time
Added 35 mins ago
Agentic QA Engineer
TribalScale
Toronto, ON
Added 35 mins ago
A
Business Intelligence Specialist
ABB
Milton, ON
- Full-time
Diploma or degree in Business, Marketing, Analytics, Finance, or a related field, with 3 to 5+ years of experience in business intelligence, marketing operations, sales operations, business…
Added 35 mins ago
P
January 2027 - Financial Risk Management - Valuation (Non-CPA) - 4 month Co-op - Toronto
PwC
Toronto, ON
- Full-time
Added 35 mins ago
Executive Director, Sales Enablement - North America
Capco
Toronto, ON

JAVA Holdings Ltd.

AI/ML Engineer

Remote, Canada

Remote

Full-time

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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

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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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