Live opening · Posted 7 hours ago

Machine Learning Engineer - Remote

YO IT Consulting · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyYO IT Consulting
LocationUnited States (Remote)
Work modeYes
SkillsMachine Learning, Python
SourceLinkedin
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

Machine Learning Expert
Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible
Job Summary
We are seeking experienced Machine Learning Experts to support AI training projects involving model development, training pipelines, inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring strong Python skills and experience using coding agents.
Key Responsibilities
Develop and validate machine learning models and training pipelines.
Build inference systems, data pipelines, and evaluation frameworks.
Implement model components and numerical methods.
Optimize memory usage, computational efficiency, and system performance.
Debug technical issues and validate correctness through reproducible workflows.
Use Python, command-line tools, and coding agents to complete engineering tasks.
Required Qualifications
Master’s degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
Strong professional or research experience in machine learning.
Practical proficiency in Python and coding agents.
Experience with model development, training, inference, or performance optimization.
Preferred Qualifications
Experience at a technology company, AI laboratory, research organization, or established engineering team.
Strong academic research or open-source contributions.
Selection Process
Submit an application and complete screening questions.
Complete an approximately 30-minute AI interview.
Complete the hiring manager review.
Availability
Candidates should be ready to begin promptly, with the first task expected within 24-48 hours after onboarding.

Work arrangement
Yes

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