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Machine Learning Platform Engineer/ 10 hours ago

Openkyber
$50 - $53 /hourly
Application ends: 2026-02-22

Quick Summary

Seeking a remote, long-term Machine Learning Engineer to leverage ML, AI, statistics, and data analysis to solve critical problems for legal teams using internal operations data. This role requires 5+ years of experience designing, deploying, and maintaining both ML Pipelines and large data pipelines, proven ability to build end-to-end ML models, and full-stack proficiency including Python, SQL, and PHP. Candidates must hold a Master's or Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Physics, Engineering, or Statistics. The pay rate is $50 - $53 per hour.

ML Engineer (Remote) - Long-Term Opportunity

We are seeking an experienced Machine Learning (ML) Engineer for an immediate, long-term, remote opportunity. This role focuses on leveraging expertise in ML, AI, statistics, and data analysis to solve critical problems for multiple legal teams using internal operations data.

Pay Rate: $50 - $53/hr

Job Description

Apply expertise in Machine Learning, AI, statistics, data exploration, and analysis in leveraging internal operations data to solve critical problems for multiple legal teams.

Required Skills & Experience

  • ML Engineer with 5+ years of experience in the design, deployment, and maintenance of ML Pipelines and systems.
  • 5+ years of experience in the design, deployment, and maintenance of large data pipelines.
  • Demonstrable experience applying Machine Learning algorithms to solve real-world problems.
  • Full stack experience including Python, SQL, and PhP.
  • Deep domain expertise in Machine Learning and AI.
  • Proven ability to build machine learning models end-to-end.

Qualifications

  • Master's or Bachelor's degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or a related quantitative field.

Preferred Experience

  • Experience working at Meta or another major technology company (big tech).

Application Information

For applications and inquiries, contact: [email protected]

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Openkyber

Openkyber

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