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Freelance Machine Learning Engineer

54 minutes ago
Germany
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 problems that are computationally intensive and cannot be solved manually within reasonable timeframes.
  • Build problems 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.
  • Participate in project-based tasks during active phases, typically 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 showing 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, 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.
  • Willingness to work on part-time, non-permanent, project-based assignments.

Benefits

  • Up to $58 per hour equivalent, depending on level and pace of contribution.
  • Project-based paid work with compensation varying by scope, complexity, and expertise.
  • Estimated workload of 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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