Gramian Consulting Group

IT professional services and engineering talent solutions

LLMTraining-ScientificProgramminginMath-PhDorPhDcandidates

Erlangen, Germany CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“LLM Training - Scientific Programming in Math - PhD or PhD candidates at Gramian Consulting Group. Skills: LLM Training, Scientific Programming, Python. 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.”

What You'll Achieve.

contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.; ensuring absolute accuracy, reliability, and logical coherence of the solution path.; enhancing overall quality promptly.

Industry & Context.

IT professional services and engineering talent solutions
Problems you'll solve

analytical; logical thinking; problem-solving skills

Eligibility Requirements

8 hours per day with an overlap of 4 hours with PST.

What They're Looking For.

Must Have

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, written and verbal communication skills for clear documentation and collaboration

What You'll Do.

Develop and conceptualize original

research-grade or graduate-level scientific problems with scientific coding/ programming

Rigorously define problem categories

and assign appropriate difficulty levels.

Rigorously solve formulated problems using sound principles

ensuring absolute accuracy

and logical coherence of the solution path.

How You'll Work.

Team & Collaboration

Collaborate effectively with reviewers and team leads; demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.

Communication Scope

written and verbal communication skills for clear documentation and collaboration

Full Job Description

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. **Role Overview** We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions. **Responsibilities:** Quantitative Problem Design and Solutioning: * 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. Quality Assurance & Collaboration: * 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. **Commitments Required: 8 hours per day with an overlap of 4 hours with PST.** **Employment type: Contractor assignment (no medical/paid leave)** Duration of contract: 12 weeks Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico **Selection process: Profile Review and Job Questionnarie** **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

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