Role overview

Machine Learning Developer (Freelance)

Requirements and responsibilities

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What this opportunity involves

  • 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 this opportunity involves

  • 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+).
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Browse stack
FocusMachine Learning DeveloperRole area
Seniority signalSenior, JuniorCandidate level
StackPython, SQLPrimary skills
Location3 accepted countriesEligibility

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