Freelance Machine Learning Engineer (Python)

Mindrift

Canada

Remote

CAD 62,508 - 89,027

Part time

14 days+

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Benefits offered by this job

Competitive hourly rates
Participation in advanced AI projects
Flexible working hours

Job summary

A forward-thinking AI company is seeking a Freelance Machine Learning Engineer (Python) to create computational STEM problems and contribute to cutting-edge AI projects. Candidates should have a Master's or PhD in a relevant field and at least 5 years of experience in Machine Learning with a solid foundation in Python and numerical methods. This remote position offers flexible hours and competitive rates up to $55/hour, providing an enriching experience in advanced AI development.

Qualifications

  • At least 5 years of Machine Learning experience with proven business impact.
  • Research or industry experience involving computational problem-solving.
  • Ready to learn new methods and switch between tasks quickly.

Responsibilities

  • Design original computational STEM problems that simulate real scientific workflows.
  • Create problems requiring Python programming to solve.
  • Document problem statements clearly and provide verified correct answers.

Skills

Strong programming skills in Python
Solid understanding of numerical methods
Advanced English (C1) or above

Education

Master's or PhD Degree in Computer Science, Mathematics, Physics, Engineering

Tools

numpy
pandas
scipy
sklearn

Job description

Freelance Machine Learning Engineer (Python)

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About The Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you'll have the opportunity to collaborate on these projects.

Responsibilities
  • Design original computational STEM problems that simulate real scientific workflows
  • Create problems that require Python programming to solve
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
  • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
  • Document problem statements clearly and provide verified correct answers
How To Get Started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.

Requirements
  • You hold a Master's or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field
  • You have at least 5 years of Machine Learning experience with proven business impact
  • Strong programming skills in Python (numpy, pandas, scipy, sklearn)
  • Solid understanding of numerical methods and computational algorithms
  • Research or industry experience involving computational problem-solving
  • Your level of English is advanced (C1) or above
  • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
  • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
Benefits
  • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs
  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio
  • Influence how future AI models understand and communicate in your field of expertise
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