Mindrift
FreelanceMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Freelance Machine Learning Engineer at Mindrift. Skills: Machine Learning, Python, GenAI. Design computational problems. Create Python problems”
Industry & Context.
non-trivial reasoning chains; creative problem-solving approaches
What They're Looking For.
Must Have
Python programming, Python programming for data science, statistical analysis, machine learning, SQL, database operations, GenAI technologies, MLOps practices, model deployment workflows, written English (C1+)
Nice to Have
proven business impact, Portfolio of completed projects, publications showcasing real-world problem-solving, TensorFlow, PyTorch, LangChain
What You'll Do.
Design computational problems
Create Python problems
Develop reasoning problems
Verify solutions using Python
Document problem statements
Provide correct answers
How You'll Work.
Communication Scope
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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