Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. The Freelance Machine Learning Engineer will design computational STEM problems, create Python-based solutions, and document problem statements for various projects.
Responsibilities:
- 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
Requirements:
- Please submit your CV in English and indicate your level of English proficiency
- 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
- 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+)