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1–2 jobs· newest first

AI EngineerNew
Trojan Technologies · Remote, Canada
CA$90K–CA$120KRemote · Full-time
Lead AI/ML Engineering
S R INTERNATIONAL INC · Phoenix, US
Hybrid · Contract · Manager

+10K new in the last hour

AI Engineer

Trojan Technologies · Posted Nov 9, 2026

Remote, Canada
Remote
Full-time
CA$90K–CA$120K per year
5+ years

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Design and deploy production-ready AI solutions for remote monitoring and expand AI capabilities across the organization.

Compensation

The compensation range for this role is $90,000-$120,000 CAD per year. This job is also eligible for bonus pay.

Responsibilities

Design and deploy end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
Build generative AI applications using large language models, RAG, and natural language processing.
Partner with Data Engineering and Analytics Manager and business stakeholders to identify and prioritize high-impact AI opportunities.
Expand AI capabilities across platforms supporting ordering, sales, engineering documentation, troubleshooting, and service.
Build and maintain data pipelines and model infrastructure required for reliable, production-ready AI applications.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field
Nice to have: IoT data
Nice to have: time-series analysis
Nice to have: remote monitoring
Nice to have: AWS

Skills

Python Azure Snowflake RAG LLMs MLOps Airflow AWS Claude OpenAI Microsoft Azure OpenAI

Benefits

paid time off
medical/dental/vision insurance

See full job description

Lead AI/ML Engineering

S R INTERNATIONAL INC · Posted Nov 3, 2026

Phoenix, Arizona, United States
Hybrid
Contract · Manager
5+ years

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Lead AI/ML Engineering & Governance Manager to oversee AI initiatives from strategic planning through deployment.

Responsibilities

Define roadmaps, scope, and objectives for enterprise AI and machine learning initiatives.
Bridge technical teams with business stakeholders.
Hire, mentor, and manage AI/ML specialists.
Oversee AI model deployment, monitoring, data drift tracking, and retirement.
Coordinate risk assessments, model validation, bias testing, and data privacy compliance.

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical field
Nice to have: OpenAI
Nice to have: PyTorch
Nice to have: TensorFlow
Nice to have: LangChain

Skills

Data Science Machine Learning AI Engineering AI/ML architectures MLOps Governance and compliance

risk assessments

model validation

data privacy compliance

Microsoft OpenAI

project management

stakeholder communication

Microsoft Azure OpenAI

See full job description