[Hiring] Machine Learning Developer @Mindrift

Role Description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves:

• 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

Qualifications

• 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+)

Requirements

• This opportunity is a good fit for ML specialists with experience in Python open to part-time, non-permanent projects.

Benefits

• Compensation: Contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution.
• Compensation varies across projects depending on scope, complexity, and required expertise.
• Please note that other projects on the platform may offer different earning levels based on their requirements.

How it works

• Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

• Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.
• This is an estimate, not a guaranteed workload, and applies only while the project is active.