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Siteup

AI/ML Engineer, Azure

Siteup

AI/ML Engineer at Cloudary simplifying cloud growth with high-level engineering. Working with advanced AI/ML systems and collaborating in agile teams nationwide.

Posted 5/4/2026contractRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureCloudDockerKubernetes.NETPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Drive critical initiatives forward rapidly as part of an agile, embedded expert team
  • Deploy Principal-Vetted talent directly into partner technical teams
  • Participate in high-level engineering efforts to simplify cloud growth

Requirements

What you’ll need
  • 4+ years of software engineering experience
  • 2+ years integrating ML or LLM models into production systems
  • Strong proficiency in Python with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Hands-on experience with Generative AI, RAG architectures, and agentic AI frameworks (LangChain, LangGraph, or equivalent)
  • Ability to integrate AI services into an existing .NET / C# / SQL Server backend without a full rewrite
  • Experience with containerized deployment using Docker and Kubernetes
  • Experience with REST API design connecting AI systems to third-party services and internal platforms
  • Comfortable working within a CI/CD pipeline managed through Azure DevOps and Git
  • Experience with workflow orchestration tools (Temporal, Step Functions, Airflow, or similar)
  • Strong MLOps understanding: model versioning, CI/CD, monitoring, and production incident response
  • Hands-on experience with AI systems for insurance claims, fleet management, or a closely related domain (P&C, auto, or commercial lines)
  • Working knowledge of the claims lifecycle: intake, investigation, adjudication, settlement, and recovery
  • Familiarity with claims management systems and integration patterns used in insurance environments
  • AWS Certified Machine Learning – Specialty or equivalent certification (NICE TO HAVE)
  • Experience with Azure AI services or OpenAI APIs (NICE TO HAVE)
  • Knowledge of data privacy and compliance standards relevant to insurance (GDPR, HIPAA, or equivalent) (NICE TO HAVE)

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
software engineeringPythonML frameworksPyTorchTensorFlowscikit-learnGenerative AIRAG architecturesagentic AI frameworksMLOps
Soft Skills
agilecollaborationproblem-solvingcommunication
Certifications
AWS Certified Machine Learning – Specialty