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# Platform Engineer

- **Company:** OpenKyber LLC
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Azure Machine Learning, SQL Databases, Feature Store, Google Cloud, Delivery Pipeline, Git, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Dataiku, Model Registry, Restful APIs, Docker
- **Published:** October 14, 2026
- **Apply:** https://www.careerjet.com/jobad/us6e402ec0ceea50227f2c8b465a64ff9e

## About the Role

Required Skills: 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.
For applications and inquiries, contact:hirings@openkyber.com

## 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. Key Responsibilities:

 * 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.
 * Collaborate with Data Science and DevOps teams.