About this role
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for highly skilled Mathematics Experts with strong backgrounds in advanced mathematics, computational problem-solving, and Python programming to contribute to an AI training initiative.
In this role, you will solve, develop, review, and validate complex mathematical tasks using programmatic and command-line-based workflows. You will translate mathematical concepts into executable procedures, implement algorithms, conduct numerical experiments, and verify that computational results are mathematically sound and reproducible.
The ideal candidate combines advanced mathematical knowledge with practical programming skills and experience using scientific computing tools. Previous AI experience is not required. Your mathematical expertise and ability to produce reliable computational solutions are what matter most.
Job Type: Contractor Location: Global — Fully Remote
Key Responsibilities
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Solve and validate advanced mathematical and computational problems across relevant mathematical disciplines.
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Translate mathematical requirements into precise, structured, and executable workflows.
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Implement mathematical equations, algorithms, and numerical procedures using Python and command-line-accessible tools.
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Automate calculations, numerical experiments, parameter sweeps, and result validation.
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Apply appropriate mathematical methods to optimization, modeling, statistical analysis, and numerical computation tasks.
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Test edge cases, verify assumptions, and assess the mathematical and numerical validity of solutions.
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Use scientific computing libraries and mathematical software to develop reproducible solutions.
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Review mathematical tasks and computational outputs for correctness, completeness, and clarity.
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Document methodologies, calculations, and results in a clear and reproducible manner.
Requirements
- Completed MSc/PhD in math or a closely related quantitative field and strong Practical Python skills.