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Freelance Machine Learning Engineer

5 hours, 19 minutes ago
Sweden, Norway, Belgium, Denmark, Finland, Ireland
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 reasonable timeframes.
  • Create problems that require non-trivial reasoning chains and creative problem-solving approaches.
  • Verify solutions using Python and standard scientific libraries such as NumPy, Pandas, SciPy, and scikit-learn.
  • Document problem statements clearly and provide verified correct answers.
  • Contribute to project-based AI tasks during active project phases, typically 10–20 hours per week.
  • Complete assigned tasks as part of the workflow from application through payment.

Requirements

  • CV must be submitted in English, and English proficiency must be indicated.
  • 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, 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.
  • Availability for part-time, non-permanent project work.
  • Ability to work approximately 10–20 hours per week during active project phases.

Benefits

  • Compensation of up to $58 per hour equivalent, depending on level and pace of contribution.
  • Project-based work with flexibility across different AI opportunities.
  • Part-time, non-permanent engagement.
  • Estimated workload of around 10–20 hours per week during active project phases.
  • Opportunity to work with leading tech companies on AI system evaluation and improvement.

Interested in this position?

Apply directly on the company website

Apply Now

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