Machine Learning Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, develop, and deploy machine learning systems at scale. Contribute to building end-to-end ML pipelines. Work with distributed data systems and modern ML frameworks.

Key Highlights

Design and deploy machine learning models and pipelines

Develop scalable data processing workflows

Collaborate with cross-functional teams

Key Responsibilities

Design, build, and deploy machine learning models and pipelines

Develop scalable data processing workflows

Collaborate with cross-functional teams

Implement and maintain ML infrastructure components

Optimize models for performance, scalability, and reliability

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Technical Skills Required

Python Java Scala TensorFlow PyTorch Spark Hive Airflow Docker Kubernetes

Benefits & Perks

100% remote contract opportunity

Competitive daily W2 compensation

Opportunity to work on large-scale machine learning systems

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Nice to Have

Experience building end-to-end ML infrastructure

Familiarity with Docker and Kubernetes

Job Description

This role focuses on designing, developing, and deploying machine learning systems that operate at scale within production-grade environments. You will contribute to building end-to-end ML pipelines, from data processing and feature engineering to model training, evaluation, and deployment. The position involves working closely with distributed data systems and modern ML frameworks to deliver reliable, high-performance solutions. You will help operationalize models in production environments, ensuring scalability, robustness, and maintainability. This is a highly technical role suited for engineers who enjoy solving complex data-driven problems and working across infrastructure, modeling, and deployment layers. The environment is fast-paced and collaborative, with strong emphasis on engineering excellence and real-world impact.

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