Machine Learning Developer (Freelance, Remote)

Job summary

This role involves participating in project-based AI opportunities focused on testing, evaluating, and enhancing AI systems. Contributors will engage in designing computational problems that reflect real scientific workflows and require advanced Python programming to solve.

Qualifications

• Over 5 years of practical experience in machine learning with demonstrable business impact.
• A portfolio showcasing completed projects and publications that highlight real-world problem-solving skills.
• Proficient in Python for data science, including libraries such as Pandas, Numpy, Scipy, and Scikit-learn.
• Strong background in statistical analysis and machine learning, with a deep understanding of algorithms and their applications.
• Expertise in SQL and database operations for data manipulation and analysis.
• Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases.
• Knowledge of MLOps practices and model deployment workflows.
• Experience with modern frameworks such as TensorFlow and PyTorch.
• Strong written English proficiency (C1+).

Responsibilities

Project time expectations

Tasks are estimated to require approximately 10–20 hours per week during active project phases, based on specific project requirements.

Compensation

Contributors can earn up to $58 per hour, depending on their expertise and contribution pace, with variations based on project scope and complexity.

• Design original computational STEM problems that simulate scientific workflows.
• Create problems that necessitate Python programming for resolution.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes.
• Develop problems that require complex reasoning and creative problem-solving.
• Verify solutions using Python and standard libraries.
• Document problem statements clearly and provide verified correct answers.