Machine Learning Engineer

2w2 weeks ago

Mindrift

US · Contract · $70 – $90/hr

About this role

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. Please submit your CV in English and indicate your level of English proficiency.

While each project involves unique tasks, contributors design original computational STEM problems that simulate real scientific workflows. They create problems that require Python programming to solve and ensure problems are computationally intensive, unsolvable manually within reasonable timeframes like days or weeks.

This opportunity fits ML specialists with Python experience open to part-time, non-permanent projects. Tasks require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not guaranteed workload.

Contributors develop problems requiring non-trivial reasoning chains and creative problem-solving. Verify solutions using Python with standard libraries like Numpy, Pandas, Scipy, scikit-learn. Apply, pass qualifications, join projects, complete tasks, and get paid with up to $90 per hour equivalent.

Requirements

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)

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

Benefits

Project-based participation, not permanent employment
10–20 hours per week during active project phases
Up to $90 per hour equivalent compensation based on level and pace
Paid after completing tasks
Varying compensation across projects depending on scope, complexity, and expertise