Remote Senior MLOps Engineer End-to-End ML Pipelines

AppRecode, Inc.; Town of Middletown (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

AppRecode, Inc. is looking for a Senior MLOps Engineer to enhance and scale their machine learning systems. This full-time remote position involves building end-to-end ML pipelines, automating model training and deployment, and ensuring the reliability of production ML operations. The ideal candidate will have extensive experience in MLOps practices and strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with skills in Docker and Kubernetes. Flexible work hours will support team collaboration.

Qualifications

• Experience in automating machine learning model training and deployment processes.
• Strong knowledge of cloud platforms (AWS / GCP / Azure).
• Proficient in Docker and Kubernetes for managing containerized applications.

Responsibilities

• Automate machine learning model training and deployment processes using CI/CD pipelines.
• Build end-to-end MLOps pipelines in cloud platforms.
• Implement monitoring for ML models in production environments.

Skills

MLOps practices

CI/CD for ML

Docker

Kubernetes

Cloud platforms

Python

Infrastructure as Code

ML frameworks

Model deployment

Job description

AppRecode, Inc. is looking for a Senior MLOps Engineer to enhance and scale their machine learning systems. This full-time remote position involves building end-to-end ML pipelines, automating model training and deployment, and ensuring the reliability of production ML operations. The ideal candidate will have extensive experience in MLOps practices and strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with skills in Docker and Kubernetes. Flexible work hours will support team collaboration.