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# Senior AI/ML Platform Engineer - Denver, CO, Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS.

- **Company:** QTech US, Inc
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Feature Store, Google Cloud, Delivery Pipeline, Git, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Dataiku, Model Registry, Restful APIs, Docker
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/8b44f1a5-7d3e-4140-89ce-fd2e7e88e46e

## About the Role

· Python

· SQL

· Machine Learning

· MLOps

· LLMOps

· MLflow

· Kubeflow

· Feature Store

· Model Registry

· Docker

· Kubernetes

· FastAPI

· REST APIs

· Git

· Azure / AWS / Google Cloud Platform

· CI/CD

Preferred Skills

· SageMaker

· Azure ML

· Vertex AI

· Ray

· Airflow

· Dataiku

Mandatory Skills

· Python

· Machine Learning

· MLOps

· LLMOps

· MLflow

· Kubeflow

· Feature Store

· Docker

· Kubernetes

· Azure/AWS/Google Cloud Platform

· FastAPI

· CI/CD

## Description

We are seeking a Senior AI/ML Platform Engineer to build enterprise-scale Machine Learning platforms supporting model development, deployment, monitoring, and governance. The ideal candidate should have strong expertise in MLOps, LLMOps, cloud-native AI platforms, Feature Stores, and scalable ML infrastructure., · Design enterprise AI/ML platforms and reusable ML pipelines.

· Build scalable MLOps and LLMOps workflows.

· Develop model training and deployment pipelines.

· Implement Feature Stores and Model Registry.

· Build CI/CD pipelines for ML applications.

· Monitor model performance, drift, and data quality.

· Develop REST APIs for model serving.

· Deploy workloads on Azure, AWS, or Google Cloud Platform.

· Implement Responsible AI and model governance.