Production ML Engineer: Deploy & Scale AI Systems

AI Squared; Washington (District of Columbia); On-site; USD 110,000 - 140,000; Full time

Job summary

A leading AI company in Washington, DC is seeking a Machine Learning Engineer to join their core AI team. In this role, you will focus on deploying and monitoring AI systems and work closely with cross-functional teams. The ideal candidate will have over 5 years of experience in a similar role, with strong expertise in cloud platforms and ML lifecycle tools. This position offers competitive compensation and the opportunity to work in a dynamic environment.

Qualifications

• 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
• Proven experience deploying and maintaining machine learning models in production at scale.
• Strong proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Design, implement, and maintain ML deployment pipelines.
• Build robust model monitoring, logging, and alerting systems.
• Optimize runtime performance of ML models across cloud platforms.

Skills

Machine Learning model deployment

MLOps practices

Collaboration

Problem-solving

Tools

MLflow

Kubeflow

SageMaker

Docker

Kubernetes

AWS

GCP

Azure

Job description

A leading AI company in Washington, DC is seeking a Machine Learning Engineer to join their core AI team. In this role, you will focus on deploying and monitoring AI systems and work closely with cross-functional teams. The ideal candidate will have over 5 years of experience in a similar role, with strong expertise in cloud platforms and ML lifecycle tools. This position offers competitive compensation and the opportunity to work in a dynamic environment.