Machine Learning Developer (Freelance, Remote)

Job summary

This role involves contributing to project-based AI opportunities, focusing on the design and evaluation of computational problems related to scientific workflows. Contributors will engage in tasks that require advanced problem-solving and programming skills in Python.

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 capabilities.
• Proficient in Python for data science, including libraries such as pandas, numpy, scipy, and scikit-learn.
• Strong expertise in statistical analysis and machine learning algorithms, with a deep understanding of their applications.
• Skilled 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 like TensorFlow, PyTorch, and LangChain.
• Strong written English proficiency (C1+).

Responsibilities

Project time expectations

Tasks are estimated to require approximately 10–20 hours per week during active project phases.

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 computational STEM problems that reflect real scientific workflows.
• Create problems that necessitate Python programming for solutions.
• Ensure problems are computationally intensive and cannot be solved manually in a reasonable timeframe.
• Develop problems that require complex reasoning and creative problem-solving.
• Verify solutions using Python and standard libraries.
• Document problem statements and provide verified correct answers.