Job Description

We are looking for a ML / MLOps Engineer to contribute to production-grade AI systems within a fast-paced technology organization (insurance technology company). The team owns multiple customer-facing and internal AI applications, including real-time decisioning, operational automation, chatbots, and ML infrastructure.



Responsibilities

  • Develop, maintain, and deploy Python-based production services

  • Build and operate ML pipelines and MLOps infrastructure

  • Work with AWS services including Lambda, Step Functions, DynamoDB, Kafka, and containerized applications

  • Deploy, monitor, and maintain ML models (e.g., XGBoost) in production environments

  • Ensure reliability, correctness, and performance of AI systems

  • Ship co...

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