Freelance Machine Learning Engineer (Python)

Freelance Machine Learning Engineer (Python)

Project-based, part-time, fully remote freelance role.

Candidates must be located in South Africa and have advanced (C1) English proficiency.

What We Do

Mindrift 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 rapidly.

As an ML expert, you will design and validate computational problem sets that enable specialized questions and complex reasoning.

You will develop, document, and verify Python-based solutions.

Responsibilities

Design original computational STEM problems that simulate real scientific workflows.

Create problems requiring Python programming to solve.

Ensure problems are computationally intensive, unsolvable 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.

Requirements

Master's or PhD in Computer Science, Mathematics, Physics, Engineering, or related STEM field.

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.

Advanced English proficiency (C1) or above.

Ready to learn new methods, switch between tasks quickly, and work with challenging guidelines.

Benefits

Paid per expertise; rates up to $32 / hour depending on skill, experience, and project needs.

Part-time, remote freelance project that fits around your primary commitments.

Work on advanced AI projects, enhancing your portfolio.

Influence how future AI models understand and communicate in your field of expertise.

Applications will be considered on a rolling basis.

Refer a colleague to double your chances of interview.

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