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Freelance Machine Learning Engineer

5 hours, 50 minutes ago
United States
Part-time
Senior
Machine Learning Engineer
Data Science and Analytics
Generative AI LLM Machine Learning MLOps NumPy Pandas Python PyTorch Scikit-learn SciPy SQL TensorFlow
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Mindrift.ai: Be the “I” in AI

Mindrift.ai: Be the “I” in AI

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Internet Software & Services
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Description

  • Design original computational STEM problems that simulate real scientific workflows.
  • Create problems that require Python programming to solve.
  • Develop computationally intensive problems that cannot be solved manually within a reasonable timeframe.
  • Design tasks that require non-trivial reasoning chains and creative problem-solving approaches.
  • Verify solutions using Python and standard libraries such as NumPy, Pandas, SciPy, and scikit-learn.
  • Document problem statements clearly and provide verified correct answers.
  • Test, evaluate, and improve AI systems through project-based contributions.
  • Complete tasks during active project phases, typically estimated at 10–20 hours per week.

Requirements

  • 5+ years of hands-on machine learning experience with proven business impact.
  • A portfolio of completed projects and publications demonstrating 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 with strong understanding of algorithms, methods, and practical applications.
  • Expertise with SQL and database operations for data manipulation and analysis.
  • Experience with GenAI technologies, including 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 proficiency at C1+ level.
  • Availability for part-time, non-permanent project-based work.

Benefits

  • Up to $90 per hour equivalent, depending on contribution level and pace.
  • Project-based, part-time engagement rather than permanent employment.
  • Estimated 10–20 hours per week during active project phases.
  • Opportunity to work with leading tech companies on AI-focused projects.
  • Compensation may vary across projects based on scope, complexity, and expertise required.

Interested in this position?

Apply directly on the company website

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