MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- AI/ML Engineer at Cloudary simplifying cloud growth with high-level engineering. Working with advanced AI/ML systems and collaborating in agile teams nationwide.
Responsibilities
- 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
- 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
- Flexible work arrangements
- Professional development opportunities
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