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Machine Learning Engineer | Remote

Crossing Hurdles

full-remotemidcontractbackenddata United States 78 days ago via LinkedIn
31,200 - 83,200 USD/daily

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Tags

Machine LearningPythonMongoDBA/B TestingData PipelinesModel MonitoringVersion ControlRemote WorkProduction ML

About the role

Role Overview

Machine Learning Engineer (Contract, Remote)

  • Hours: 10–40 hrs/week
  • Compensation: $30–$160/hour

Responsibilities

  • Architect, implement, and optimize advanced machine learning algorithms and systems aligned with business needs.
  • Collaborate with cross-functional stakeholders to identify opportunities for AI-driven improvements.
  • Build and manage data pipelines for seamless data processing and retrieval using MongoDB.
  • Evaluate model performance using A/B testing and continuous monitoring; iterate for maximum impact.
  • Document technical processes and model architectures to support internal knowledge sharing.
  • Communicate complex technical concepts to both technical and non-technical audiences.
  • Maintain best practices in code quality, version control, and scalable deployment.

Requirements

  • Expert proficiency in Python for designing and deploying ML models.
  • Experience with core machine learning frameworks and libraries.
  • Strong hands-on experience with MongoDB for storage, querying, and data management.
  • Deep understanding of modern ML concepts, algorithms, and real-world industry applications.
  • Ability to work autonomously and efficiently in a fully remote environment.
  • Track record delivering ML projects from concept to production.

Nice-to-haves

  • Not specified.

About Crossing Hurdles

Crossing Hurdles is hiring a Machine Learning Engineer to build and optimize AI/ML solutions for business needs. The role focuses on developing ML algorithms and production-ready systems, including data pipelines and model evaluation.

Scraped 7/8/2026