Freelance Machine Learning Engineer (Remote)

Job summary

This role involves participating in project-based AI opportunities, focusing on testing, evaluating, and enhancing AI systems. Contributors will engage in designing computational problems and verifying solutions using Python.

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 capabilities.
• 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 like TensorFlow, PyTorch, and LangChain.
• Strong written English skills (C1+).

Responsibilities

Project time expectations

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

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 mimic real scientific workflows.
• Create problems solvable through Python programming, ensuring they are computationally intensive.
• Develop problems that necessitate complex reasoning and creative problem-solving.
• Verify solutions using Python with standard libraries and document problem statements clearly.