AI/ML Engineer

Java Holdings Ltd

. Design and develop AI applications, LLM-powered solutions, RAG systems and AI agents .

Posted 11/7/2026full-timeEdmonton • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI applications, integrating AI capabilities with enterprise systems, and implementing MLOps practices for reliable deployment. Proficient in machine learning model development, data preparation, and ensuring compliance with security and privacy standards.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentMLOps PracticesAI Application DeploymentData Integration

ATS Keywords

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Hard Skills

Machine LearningData PreparationAI Application DevelopmentPrompt EngineeringVersion ControlAutomated TestingAPIsSQLAI EvaluationCloud AI Platforms

Soft Skills

CollaborationCommunicationContinuous Improvement

Tools & Technologies

Microsoft AzureAzure OpenAIDockerKubernetesTerraformMicrosoft 365Azure Machine LearningLangChainLlamaIndexSemantic Kernel

Certifications & Qualifications

Cloud CertificationsAI CertificationsMachine Learning Certifications

Industry Keywords

Responsible AI PrinciplesData PrivacyEnterprise AI SolutionsRegulated Enterprise SettingPredictive Analytics

Tech Stack

Tools & technologies

AzureCloudDockerKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

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
Collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions

Requirements

What you’ll need

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
Nice to have: Familiarity with vector databases, embeddings, semantic search and AI agent orchestration
Nice to have: 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
Nice to have: Exposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelines
Nice to have: Relevant cloud, AI or machine learning certifications
Nice to have: Kubernetes and infrastructure-as-code (Terraform)
Nice to have: Fine-tuning and LLM evaluation frameworks
Nice to have: Experience in a regulated enterprise setting

Benefits

Comp & perks

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