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 10‑20 hours per week durin

📌 Machine Learning Developer (Valencia)
🏢 Mindrift
📍 Valencia