MLOps Engineer (Python) - AI Platform

Write production-grade Python - services, pipelines, shared libraries, internal tooling

Own containerized deployments end to end - Docker, CI/CD, versioning, runtime management

Keep AI agents running at scale - high availability, performance, resilience under load

Build observability into everything - logging, tracing, monitoring, alerting

Manage cloud infrastructure with Terraform across Azure and GCP

Deploy and maintain workflow orchestration (Prefect)

Troubleshoot production issues across the full stack - app to infra

3-5 years in Software Engineering, DevOps, or MLOps

Python is your primary language - and you've shipped it in production

Docker and containerized cloud deployments are second nature

You've used Terraform in a real environment, not just tutorials

You think in systems - you debug end to end, not just your layer

CI/CD and Git-based release workflows are part of your daily life

A $3B+ boutique hedge fund has AI agents running in production. They work. Now they need someone to make them scale, stay up, and run fast under real-world load. This is not a research role. No Jupyter notebooks. No "we're exploring AI." It's already built - now they need the engineer who owns it. You'll be the person who keeps production humming, scales what's working, and builds the tooling that makes every data scientist on the team faster., #Python #DevOps #MLOps #AIInfrastructure #CloudEngineering #Docker #Terraform #Azure #GCP #LangChain #AgentAI #NowHiring #TechJobs #NewYorkJobs #SoftwareEngineer #PythonDeveloper #HedgeFund #AIEngineer #MachineLearning #Hiring