AI/ML Engineer - Azure - Remote

Overview

Cloudary simplifies cloud growth by deploying Principal-Vetted talent directly into our partners' technical teams. Founded and led by senior cloud architects, we know exactly what it takes to deliver high-level engineering. Joining us means operating as an agile, embedded expert to drive critical initiatives forward rapidly.

In Short

• 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).

Requirements

• Working knowledge of the claims lifecycle: intake, investigation, adjudication, settlement, and recovery.
• Familiarity with claims management systems and integration patterns used in insurance environments.

Benefits

• AWS Certified Machine Learning – Specialty or equivalent certification is a nice to have.
• Experience with Azure AI services or OpenAI APIs is a plus.
• Knowledge of data privacy and compliance standards relevant to insurance (GDPR, HIPAA, or equivalent).