LLM Phd Computer Science 87462

• Algorithm Development: Design and implement efficient algorithms for processing and analyzing large datasets optimizing performance and ensuring scalability.
• AI Model Building: Develop and train machine learning models for tasks like image recognition natural language processing or predictive analytics leveraging cuttingedge research techniques.
• Data Integration & Visualization: Combine and process data from different sources such as structured databases unstructured text and visual data creating clear visualizations and actionable insights.

• Computer Science Proficiency: Strong knowledge of computer science fundamentals including algorithms data structures machine learning artificial intelligence and data processing.
• ProblemSolving Skills: Ability to approach complex computational challenges systematically and creatively with a focus on optimization and scalability.
• Technical Expertise: Familiarity with programming languages like Python Java C and proficiency in data analysis tools machine learning libraries (e.g. TensorFlow PyTorch) and big data frameworks (e.g. Hadoop Spark).
• Research Skills: Ability to translate complex computational problems into research questions design experiments and evaluate results.
• Communication: Excellent written and verbal communication skills for explaining technical concepts and presenting research findings.
• Commitment: We have different models of engagements based on your availability
• Technical Setup: Desktop/Laptop with reliable internet connection and the necessary software for development data processing and online collaboration.

• PhD or at least Masters degree in Computer Science or a related advanced degree with a focus on artificial intelligence machine learning data science or a similar field.
• Experience in academic or industry research in AI or related areas.
• Familiarity with AIrelated software and tools (e.g. TensorFlow PyTorch Scikitlearn cloud computing platforms).
• Proven experience working with large datasets multimodal data and complex system architectures.

• Collaborative work environment with other AI/LLM 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.

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