LLM Phd Chemistry SME 00562

• Analyze and explain the steps in a complex organic reaction mechanism providing both textual explanations and annotated chemical structures.
• Solve a problem involving chemical equilibrium accompanied by visual representations of reaction progress and energy diagrams and explain the process using both text and visual aids.
• Address challenging problems involving stoichiometry thermodynamics organic chemistry and electrochemistry typical of Engineering Entrance Exam or Engineering College level questions utilizing a combination of textual visual and diagrammatic explanations.

• Chemistry Proficiency: Strong skills in general chemistry organic chemistry physical chemistry and inorganic chemistry at the high school/college level.
• ProblemSolving Skills: Ability to approach complex chemistry problems systematically and creatively.
• Explanation Skills: Capacity to break down solutions into clear understandable steps supported by relevant visual aids and diagrams.
• Communication: Excellent written and verbal communication skills for explaining chemical concepts and multimodal content.
• Commitment: We have different models of engagements based on your availability
• Technical Setup: Desktop/Laptop with reliable internet connection and necessary software for chemical computations visual content creation and online collaboration.

• PhD or at least Masters degree in Chemistry Chemical Engineering Biochemistry or a related field. We are open to candidates who have demonstrated exceptional chemistry skills without a formal degree.
• Familiarity with standardized test formats and requirements for Engineering Entrance Exam or Engineering College level.

• Collaborative work environment with other chemistry enthusiasts.
• Flexible working hours and remote work environment.
• Opportunity to work on cuttingedge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

ai systems,code review,deep learning models,scikit-learn,algorithmic problems,reinforcement learning,spark,decision trees,software development principles,software development,version control (git),problem solving,transfer learning,pytorch,engineering,lua,sql,hadoop,attention to detail,prompt engineering,test case development,data analysis,c/c++ programming,web development frameworks,teamwork,k-nn,tensorflow,c++,coding best practices,backend development,algorithms,computer vision,version control systems (git),python,code,llms / ai for coding,data structures,artificial intelligence,gans,machine learning,numpy,ai-driven solutions,opencv,code design,business sense,c#,software development best practices,code-creation technologies,big data frameworks,mobile coding domain,software quality assurance,keras,analytical abilities,problem-solving,c programming,problem-solving skills,ruby on rails,cnns,communication skills,cloud platforms,solution refinement,ai,php,rust,documentation,solution debugging,web applications,github,spoken communication skills,chemistry proficiency,data processing,image processing,strategic thinking,java,random forest,computer science fundamentals,large language models (llms),analytical skills,communication,pandas,rnns,test planning,explanation skills,ai technology,jupyter notebooks,critical thinking,ruby,svm,llms,written communication skills