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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.

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 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

Nice to Have

* Experience with MLOps platforms and automation tools

* Real-time data pipelines

* Experience with AI chatbots or retrieval-augmented generation (RAG) systems