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 that reflect real scientific workflows and require advanced Python 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 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.
• Excellent written English proficiency (C1+).

Responsibilities

Project time expectations

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

Compensation

Contributors can earn up to $58 per hour, based on their expertise and contribution pace. Compensation may vary across different projects based on their scope and complexity.

• Design original computational STEM problems that simulate scientific workflows.
• Create computationally intensive problems that necessitate Python programming for solutions.
• Develop problems requiring complex reasoning and creative problem-solving.
• Verify solutions using Python and standard libraries.
• Document problem statements and provide verified correct answers clearly.