IND Senior Software Engineer
Core
Build and maintain monitoring, observability, and CI/CD pipelines for production machine learning and GenAI systems to ensure reliability, scalability, and performance.
Role type
Senior IC MLOps/Infrastructure Engineer (ML Monitoring & Observability)
Builds
Production ML monitoring frameworks, drift detection systems, automated retraining workflows, and CI/CD pipelines for model updates.
Domain
Insurance / Machine Learning Operations (MLOps) / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Java, Terraform, Google Cloud Platform, AWS, Azure, TensorFlow, scikit-learn, Vertex AI, SageMaker, CI/CD, MLOps, model drift analysis, data quality validation, automated alerting, root-cause analysis
Preferred skills
Agentic AI tooling, GenAI platforms (Claude Code, Gemini CLI, OpenAI Codex), enterprise AI services (Gemini Enterprise, Amazon Q, Microsoft Copilot), SAFe methodology
Technologies
Arize, MHM database, Terraform, Google Cloud Platform, AWS, Azure, TensorFlow, scikit-learn, Anaconda, SageMaker, Vertex AI, CI/CD tools
Responsibilities
Collaborate with data scientists to onboard models into monitoring systems and maintain configuration files for drift checks; Implement monitoring frameworks to track data drift, training-serving skew, and model performance metrics; Perform QC checks on incoming data to validate integrity before model scoring; Build and maintain CI/CD pipelines for deploying monitoring solutions and model updates; Monitor KPIs such as accuracy, precision, recall, and fairness across demographic slices; Provide periodic reports on model health, including drift metrics and performance trends.
Seniority
Senior, hands-on IC
