Freelance Machine Learning Engineer

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 workflowsCreate problems that require Python programming to solveEnsure 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 approachesVerify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)Document problem statements clearly and provide verified correct answersWhat 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 impactPortfolio of completed projects and publications showcasing real-world problem-solvingExpert 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 applicationsExpert with SQL and database operations for data manipulation and analysisExperience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)Understanding of MLOps practices and model deployment workflowsKnowledge of modern frameworks (TensorFlow, PyTorch, LangChain)Strong written English (C1+).How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject 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. CompensationOn 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.Originally posted on Himalayas

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 workflowsCreate problems that require Python programming to solveEnsure 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 approachesVerify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)Document problem statements clearly and provide verified correct answersWhat 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 impactPortfolio of completed projects and publications showcasing real-world problem-solvingExpert 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 applicationsExpert with SQL and database operations for data manipulation and analysisExperience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)Understanding of MLOps practices and model deployment workflowsKnowledge of modern frameworks (TensorFlow, PyTorch, LangChain)Strong written English (C1+).How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject 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. CompensationOn 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.Originally posted on Himalayas