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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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