ML/MLOps Engineer (Python, AWS) - Remote

Overview

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.

In Short

• 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

Requirements

• Experience with Python (production-quality code)
• Hands-on AWS experience (Lambda, Step Functions, DynamoDB, IAM, containers)
• Experience with Kafka or other event-driven systems
• Experience deploying ML models to production
• Git / CI/CD experience

Benefits

• Experience with MLOps platforms and automation tools
• Real-time data pipelines
• Experience with AI chatbots or retrieval-augmented generation (RAG) systems