
2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
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.
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2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
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.
• Analyse experimental results, technical datasets, and materials-science research. • Conduct literature reviews on materials, methodologies, and characterisation techniques. • Annotate and structure scientific datasets with clear technical context. • Interpret material properties, behaviour, and testing results. • Develop realistic case studies and engineering scenarios. • Explain complex materials concepts in clear written form. • Review scientific deliverables for accuracy and consistency. • Identify gaps, unsupported conclusions, and data-quality issues. • Collaborate remotely with other scientific contributors.
• MS or PhD in **Materials Science, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related field**. • Professional or research experience in materials science or engineering. • Experience with materials characterisation methods such as microscopy, spectroscopy, or mechanical testing. • Strong experience interpreting scientific data and technical literature. • Ability to produce clear, accurate, and structured scientific explanations.
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