Freelance Machine Learning Engineer

Mindrift; Kentucky; On-site; USD 74,000 - 124,000; Part time

Job summary

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

Contributors may design original computational STEM problems, create Python-based solutions, and verify results using standard libraries. Tasks are 10–20 hours per week during active phases, with compensation up to $90/hour depending on level and pace.

Qualifications

• 5+ years of hands-on ML experience with proven business impact.
• Portfolio of completed ML projects/publications showcasing real-world problem-solving.
• Expert Python programming for data science (pandas, numpy, scipy, scikit-learn).
• Expert statistical analysis and ML understanding of algorithms and applications.
• Expert with SQL for data manipulation and analysis.
• Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
• Knowledge of MLOps practices and model deployment workflows.
• Knowledge of TensorFlow/PyTorch/LangChain frameworks.
• Strong written English (C1+).

Responsibilities

• Design original computational STEM problems simulating real scientific workflows.
• Create problems requiring Python programming to solve.
• Ensure problems are computationally intensive and not solvable manually quickly.
• Develop problems needing non-trivial reasoning and creative problem solving.
• Verify solutions using Python with libraries (Numpy, Pandas, Scipy, scikit-learn).
• Document problem statements clearly and provide verified correct answers.

Skills

5+ years of ML experience

Python programming

SQL

GenAI technologies

MLOps

TensorFlow / PyTorch

LangChain

English (C1+)

Tools

Pandas

NumPy

SciPy

scikit-learn

Vector databases

Job 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

While each project involves unique tasks, contributors may:

• 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

What We Look For

This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• 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+)

How It Works

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

Project time expectations

For this project, 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.

Compensation

On this project, contributors can earn up to $90 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.