Gramian Consulting
2 - 10 employees
Founded 2025
🎯 Recruiter
🤖 Artificial Intelligence
📚 Education
Recruitment • Artificial Intelligence • Education
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
LLM Training – Scientific Programming, Math – PhD or PhD Candidates
🔥 20 hours ago
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Gramian Consulting
2 - 10 employees
Founded 2025
🎯 Recruiter
🤖 Artificial Intelligence
📚 Education
Recruitment • Artificial Intelligence • Education
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
📋 Description
• Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python. • Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels. • Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path. • Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. • Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.
🎯 Requirements
• PhD or PhD Candidates in Computational Mathematics • Has published at least 1 peer-reviewed paper • Advanced proficiency in Python programming for scientific coding • Excellent analytical, logical thinking, and problem-solving skills • Strong written and verbal communication skills for clear documentation and collaboration
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