Machine Learning Developer (Freelance)

Remote from: France
Salary, yearly, USD: 116,000
Department: Software Engineering
Employment type: Full Time,
Job posted: 15 May 2026
Apply before: 15 Jun 2026
Experience level: Midweight
Views / Applies: 29 / 3

Mindrift connects AI experts and clients to advance Generative AI models.

Actively Hiring

AI Summary

Mindrift is seeking a freelance Machine Learning Developer to work on project-based opportunities with leading tech companies, focusing on testing and improving AI systems. The role involves designing original computational STEM problems that require Python programming and cannot be solved manually within reasonable timeframes. Ideal candidates have 5+ years of hands-on ML experience, expert Python skills, and strong statistical analysis abilities. Tasks require 10-20 hours per week during active phases, with compensation up to $58 per hour. This is a non-permanent, part-time opportunity for experienced ML specialists.

Job Complexity

Easy Hard

AI Insight The role requires 5+ years of ML experience, expert-level Python and statistics, and the ability to design complex computational problems, making it challenging and suitable for senior professionals.

Salary Analysis

AI Insight The offered salary is $116,000 per year, which is competitive for a freelance ML Developer role with senior-level requirements. The market range for similar positions in the US is $90,000-$150,000, placing this offer near the median.

Key Skills

Machine Learning Python Data Science Statistical Analysis SQL GenAI PyTorch TensorFlow LangChain MLOps

Cover Letter Sample

Dear Hiring Team,

I am writing to express my interest in the Machine Learning Developer (Freelance) position at Mindrift. With over 5 years of hands-on experience in machine learning and a strong background in Python programming, I am confident in my ability to design and solve complex computational problems that align with your project needs.

My expertise includes deep knowledge of statistical analysis, SQL, and modern frameworks such as PyTorch and LangChain. I have a proven track record of delivering impactful solutions in real-world settings, as demonstrated by my portfolio of completed projects and publications.

I am particularly drawn to the opportunity to contribute to AI system improvement and am comfortable working on a project basis with flexible hours. I look forward to the possibility of collaborating with your team.

Sincerely,
[Your Name]

Possible Interview Questions

Can you describe a complex machine learning project you led from conception to deployment, including the business impact?

In my previous role, I led a project to build a recommendation system for an e-commerce platform. I designed the model architecture using collaborative filtering and deep learning, implemented it in PyTorch, and deployed it via an API. The system increased click-through rates by 20% and revenue by 15%.

How would you design a computational problem that requires Python programming and cannot be solved manually within a reasonable timeframe?

I would create a problem involving high-dimensional data processing, such as training a neural network on a large dataset with custom loss functions. The solution would require writing efficient code using Numpy and PyTorch, and the computation would take hours on a standard machine, making manual solving impractical.

Explain your experience with GenAI technologies like LLMs, RAG, and prompt engineering.

I have worked with LLMs like GPT-3 and Llama for text generation tasks. I implemented a RAG system using LangChain and vector databases to retrieve relevant documents for question answering. I also optimized prompts to improve model output quality and reduce hallucination.

Describe your approach to verifying that a solution to a computational problem is correct.

I write unit tests to validate each function, use property-based testing for edge cases, and compare outputs against known results. For complex problems, I also perform cross-validation with alternative methods or manual checks for small-scale instances.

How do you stay updated with the latest developments in machine learning and AI?

I regularly read research papers on arXiv, follow conferences like NeurIPS and ICML, and participate in online communities. I also implement new techniques in side projects to gain hands-on experience.

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

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 $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.

Apply now >