Freelance Machine Learning Engineer (Remote)

Job summary

This role involves engaging in project-based opportunities focused on enhancing AI systems through the design and evaluation of computational problems. Contributors will work remotely on tasks that require advanced problem-solving and programming skills.

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 effective 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, based on specific project requirements.

Compensation

Contributors can earn up to $58 per hour, depending on their expertise and contribution pace, with variations across different projects.

• Design original computational STEM problems that simulate real 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 approaches.
• Verify solutions using Python with standard libraries and document problem statements clearly.