Mindrift

FreelanceMachineLearningEngineer

South Africa PART TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Freelance Machine Learning Engineer at Mindrift. Skills: Machine Learning, Python, Statistical Analysis, SQL, GenAI. Design original computational STEM problems that simulate real scientific workflows. Create problems that require Python programming to solve”

Industry & Context.

Problems you'll solve

creative problem-solving approaches; non-trivial reasoning chains

Eligibility Requirements

CV in English, indicate level of English proficiency

What They're Looking For.

Must Have

ML specialists with an experience in python open to part-time, non-permanent projects, 5+ years of hands-on machine learning experience with proven business impact, Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels), Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications, Expert with SQL and database operations for data manipulation and analysis, Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases), Understanding of MLOps practices and model deployment workflows, written English (C1+)

Nice to Have

Portfolio of completed projects and publications showcasing real-world problem-solving, Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)

What You'll Do.

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

Document problem statements clearly

Provide verified correct answers

How You'll Work.

Communication Scope

Document problem statements clearly

Full Job Description

_Please submit your CV in English and indicate your level of English proficiency._ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves ** While each project involves unique tasks, contributors may: * 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, scikit-learn) * Document problem statements clearly and provide verified correct answers **What we look for** This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on machine learning experience with proven business impact * Portfolio of completed projects and publications showcasing real-world problem-solving * Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) * Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications * Expert with SQL and database operations for data manipulation and analysis * Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) * Understanding of MLOps practices and model deployment workflows * Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) * Strong written English (C1+). **How it works ** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations ** For this project, tasks are estimated to require around

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