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Machine Learning Developer (Freelance)

5 hours, 49 minutes ago
United States
Part-time
Senior
Machine Learning Engineer
Software Development
Generative AI LLM Machine Learning MLOps NumPy Pandas Python PyTorch Scikit-learn SciPy SQL TensorFlow
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Description

  • 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.
  • Develop problems that require non-trivial reasoning chains and creative problem-solving approaches.
  • Verify solutions using Python with standard libraries such as Numpy, Pandas, Scipy, and scikit-learn.
  • Document problem statements clearly and provide verified correct answers.
  • Participate in project-based tasks during active phases, typically estimated at 10–20 hours per week.
  • Complete assigned project tasks through the workflow of applying, passing qualifications, joining a project, and getting paid.

Requirements

  • 5+ years of hands-on machine learning experience with proven business impact.
  • A portfolio of completed projects and publications showcasing real-world problem-solving.
  • Expert Python programming for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels.
  • Expert statistical analysis and machine learning knowledge, including algorithms, methods, and practical applications.
  • Expertise with SQL and database operations for data manipulation and analysis.
  • Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases.
  • Understanding of MLOps practices and model deployment workflows.
  • Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain.
  • Strong written English at C1+ level.
  • Willingness to work on part-time, non-permanent, project-based assignments.

Benefits

  • Compensation up to $90 per hour equivalent, depending on level and pace of contribution.
  • Project-based, part-time work with flexibility rather than permanent employment.
  • Estimated workload of around 10–20 hours per week during active project phases.
  • Opportunity to work with leading tech companies on AI evaluation and improvement projects.

Interested in this position?

Apply directly on the company website

Apply Now

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