Mindrift
MachineLearningDeveloper(Freelance)
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Developer (Freelance) at Mindrift. Skills: Machine learning, Python programming, Statistical analysis, GenAI technologies. Design original computational STEM problems that simulate real scientific workflows. Create problems that require Python programming to solve”
What You'll Achieve.
Proven business impact
Industry & Context.
Creative problem-solving approaches; Real-world problem-solving
Freelance, Project-based, Non-permanent employment
What They're Looking For.
Must Have
Python programming, Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels), Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications, SQL and database operations for data manipulation and analysis, GenAI technologies (LLMs, RAG, prompt engineering, vector databases), MLOps practices and model deployment workflows, written English (C1+)
Nice to Have
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 and provide verified correct answers
How You'll Work.
Communication Scope
Document problem statements clearly; written English (C1+)
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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