Role overview
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ML/MLOps Engineer (Python, AWS)
Remotely, Anywhere
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.
What you'll work on
- 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 code to production frequently (daily or near-daily)
- Debug and resolve production issues efficiently
- Collaborate with data scientists, product managers, and operational teams to support AI-driven products
What we're looking for
- Experience with MLOps platforms and automation tools
- Real-time data pipelines
- Experience with AI chatbots or retrieval-augmented generation (RAG) systems
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Machine Learning Data Science Mlops