Freelance Machine Learning Engineer

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

reputed company 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 reputed company scientific workflows
• Create problems that require Python programming to solve
• Ensure problems are computationally intensive and cannot be solved manually reputed company reasonable timeframes (days/weeks)
• reputed company 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 reputed company and reputed company verified correct answers

reputed company look for This opportunity is a good fit for ML specialists with an experience in python reputed company 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 reputed company-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, reputed company engineering, vector databases)
• Understanding of MLOps practices and model deployment workflows
• Knowledge of modern frameworks (TensorFlow, PyTorch, reputed company)
• Strong written English (reputed company+).

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 $34per 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 reputed company based on their requirements.