Freelance Machine Learning Engineer (Remote)

Job summary

This role involves engaging in project-based opportunities focused on AI systems, where contributors will design and evaluate computational problems that simulate scientific workflows.

Qualifications

• Over 5 years of practical machine learning experience 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.
• Familiarity with GenAI technologies, including LLMs and prompt engineering.
• Understanding of MLOps practices and model deployment workflows.
• Knowledge of modern frameworks like TensorFlow and PyTorch.
• Strong written English proficiency (C1+).

Responsibilities

Project time expectations

Compensation

• Design computational STEM problems that are computationally intensive and require Python programming to solve.
• Develop problems that necessitate creative problem-solving and non-trivial reasoning chains.
• Verify solutions using Python and standard libraries, ensuring clarity in documentation of problem statements and correct answers.
• Estimated workload of 10–20 hours per week during active project phases, subject to project requirements.
• Earnings can reach up to $58 per hour, varying based on project scope, complexity, and expertise required.