Live opening · Posted 10 days ago

Machine Learning Engineeer - Remote

YO HR Consultancy · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyYO HR Consultancy
LocationIndia (Remote)
Salary$100/hr - $150/hr
Work modeNo
SourceLinkedin
Listed10 days ago

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About the role

Description supplied by the original job listing.

Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if desired
We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.
The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.
This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.
What You’ll Work On
Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
Implement model components, data pipelines, evaluation systems, and numerical methods.
Build reproducible programmatic workflows using Python and command-line tools.
Required Qualifications
A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning.
Practical proficiency withPython and coding agents.
Relevant Tools May Include
PyTorch
JAX
NumPy and SciPy
SGLang
vLLM
llama.cpp
Hugging Face Transformers
Hugging Face Tokenizers
Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.
Process
Apply to the role and complete the screening questions.
Complete an AI interview of approximately 30 minutes.
Complete the hiring manager review.
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum Submission Requirements Apply.
Skills: python,machine learning,training,workflow

Work arrangement
No

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