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# AI/ML Platform Engineer

- **Company:** TechniPros, LLC
- **Location:** Hartford, CT, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Google Cloud, Delivery Pipeline, Git, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Restful APIs, Docker
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/59847c15-ed5c-48c1-9213-a0565fac07cf

## 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

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.

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.


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