Remote ML Engineer — Model Deployment & Monitoring

The Elite Job; Town of Geneseo (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible working options

Professional development

Technical exposure

Career advancement

Job summary

The Elite Job is seeking a skilled Machine Learning Engineer to design, deploy, monitor, and optimize ML models in production. Collaborate with data scientists, software engineers, and DevOps to build robust pipelines and automated deployment processes.

You will ensure model reliability, performance, and scalability, while improving operational efficiency and driving AI-driven projects forward.

Qualifications

• Bachelor's degree in a related technical discipline; master's preferred but not mandatory.
• Strong Python programming skills and ML knowledge, including model deployment concepts.
• Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch) and API development tools.

Responsibilities

• Develop, package, and deploy ML models into production using reliable deployment processes.
• Build scalable model-serving solutions via REST APIs or real-time inference services.
• Monitor model accuracy, latency, and performance; implement alerts and dashboards.

Skills

Python

MLOps

CI/CD

Docker

Kubernetes

Model monitoring

REST APIs

Cloud platforms

Linux

Education

Bachelor's degree in Computer Science

Master's degree in Machine Learning

Cloud certifications desirable

Tools

Scikit-learn

TensorFlow

PyTorch

FastAPI

Flask

Git

Docker

Job description

The Elite Job is seeking a skilled Machine Learning Engineer to design, deploy, monitor, and optimize ML models in production. Collaborate with data scientists, software engineers, and DevOps to build robust pipelines and automated deployment processes.

You will ensure model reliability, performance, and scalability, while improving operational efficiency and driving AI-driven projects forward.