Best AI tools for< Industry-specific Job Listings >

Techire AI Engagement Hub is an AI application that offers a platform for job seekers and clients to connect in the field of Artificial Intelligence and related industries. The platform focuses on AI technologies such as AGI, AI Agents, Computer Vision, Conversational AI, ML tools, Natural Language Processing, Robotics, and more. It provides job listings, candidate submissions, client vacancies, and advanced search features tailored to the AI industry. Techire AI aims to revolutionize the way individuals interact with AI technologies by offering a diverse range of job opportunities and services.

QSourcer is an AI-powered talent acquisition tool that leverages Boolean and X-ray search techniques to supercharge talent sourcing. It helps users uncover top talent on platforms like LinkedIn, GitHub, and StackOverflow by simplifying the creation of complex Boolean search queries and providing industry-specific synonyms. With features like generating keywords with AI, multi-language support, and user-friendly interface, QSourcer aims to make talent sourcing efficient, fun, and much easier.

Resumecheck.net is an AI-powered resume improvement platform that helps users create error-free, professional resumes that stand out to recruiters. The platform uses GPT4 technology to provide personalized feedback and suggestions, including grammar corrections, formatting adjustments, and industry-specific keyword optimization. Additionally, Resumecheck.net offers an AI Cover Letter Writer that generates tailored cover letters based on the user's resume and the specific job position they are applying for.

HireFlow.net is an AI-powered platform designed to optimize resumes and enhance job prospects. The website offers a free resume checker that leverages advanced Artificial Intelligence technology to provide personalized feedback and suggestions for improving resumes. Users can also access features such as CV analysis, cover letter and resignation letter generators, and expert insights to stand out in the competitive job market.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Best Resume AI is an AI-powered resume improver that helps you tailor your resume to any job posting with perfect accuracy. It uses a multipoint system to amplify your resume so it gets past the digital gatekeepers with custom saturation methods, AI intents and deep understanding of industry. Our AI technology aligns your strengths and skills with the specific job requirements, making your resume more noticeable and effective.

Final Round AI is an AI-powered platform designed to assist users in various stages of the job application process, from resume building to interview preparation. The platform offers a suite of AI tools, including Interview Copilot for real-time interview guidance, AI Resume Builder for creating optimized resumes, and Question Bank for practicing interview questions. Final Round AI aims to empower users by providing personalized support, industry-specific scenarios, and real-time feedback to enhance their job application success.

AI Interview Answers Generator is an innovative tool designed to assist individuals in acing their job interviews by providing real-time voice transcription, instant optimal solutions, and industry-specific knowledge base. The tool acts as a virtual copilot during interviews, ensuring users have access to relevant and up-to-date information to stand out among other candidates. With cutting-edge AI technology, users can confidently navigate through technical questions and showcase their skills effectively.

useResume is a free AI resume and cover letter builder that leverages state-of-the-art AI technology to help users create tailored resumes and cover letters for job applications in seconds. The platform offers optimized resumes, beautiful templates, version control, interview preparation, and industry-specific content to enhance job application success.

Interview Igniter is an AI-powered platform that provides job seekers with a robust interview simulation to fine-tune their skills, adapt to their learning curve, and get detailed feedback. It offers a comprehensive question bank, including industry-specific questions and actual interview questions asked by leading tech companies like Google, Facebook, Apple, and Amazon. Interview Igniter also provides a coding interview tool for practicing and improving coding skills, with interactive guidance and tailored learning experiences. The platform utilizes Conversation Intelligence tools for analyzing communication in real-time and providing nuanced feedback. Interview Igniter was created by Vidal Graupera, a former engineering manager at LinkedIn and Uber with over 20 years of experience hiring.

Flavored Resume is an AI-powered resume optimization tool that helps job seekers tailor their resumes to specific job descriptions. It utilizes AI to analyze job descriptions and industry trends, enhancing resumes with targeted keywords and improving resume structure and readability for easy Applicant Tracking System (ATS) parsing. Flavored Resume provides a user-friendly web platform for instant resume edits, making it easy for job seekers to customize their resumes without the need for professional writers.

CVBee.ai is an AI-powered online CV maker that offers a comprehensive solution for creating, optimizing, and refining professional resumes. The platform utilizes artificial intelligence to generate CVs from users' career background, enhance existing CVs with industry-specific keywords, and provide format and structure suggestions. With features like iterative refinement and keyword optimization, CVBee.ai aims to help job seekers craft job-winning resumes that stand out in Applicant Tracking Systems (ATS) and increase their chances of landing interviews.

CoverLetterGPT is an AI-powered tool that helps job seekers create professional and tailored cover letters in seconds. With its advanced algorithms and vast database of industry-specific phrases and keywords, CoverLetterGPT can generate cover letters that are optimized for Applicant Tracking Systems (ATS) and tailored to the specific requirements of each job application.

Final Round AI is an AI-powered platform designed to assist candidates in excelling during interviews and job application processes. It offers a suite of AI tools, including Interview Copilot for real-time guidance, AI Resume Builder for creating hireable resumes, and AI Mock Interview for immersive interview practice. The platform provides personalized support, industry-specific scenarios, real-time feedback, and verified question databases to help users master their interviews and stand out to potential employers.

PMaps is an AI-powered talent assessment platform designed to revolutionize talent management by offering evidence-based decision-making tools for recruiters and talent practitioners. The platform leverages AI and people analytics to provide precise, customizable assessments across various job roles and industries. PMaps ensures fair, unbiased talent evaluation through scientifically backed assessments, standardized processes, and comprehensive evaluations. With features like automated distribution of assessment links, role-specific tests, and real-time analytics, PMaps streamlines recruitment processes and enhances talent acquisition. The platform prioritizes data security and privacy, complying with GDPR standards and ensuring ethical handling of data. PMaps offers customizable assessments, a diverse skill library, and a user-friendly interface to tailor assessments to specific job roles and evolving industry needs. By providing detailed reports, continuous platform updates, and employee engagement surveys, PMaps empowers organizations to make informed hiring decisions, improve employee retention, and drive organizational success.

SWMS AI is an AI-powered safety risk assessment tool that helps businesses streamline compliance and improve safety. It leverages a vast knowledge base of occupational safety resources, codes of practice, risk assessments, and safety documents to generate risk assessments tailored specifically to a project, trade, and industry. SWMS AI can be customized to a company's policies to align its AI's document generation capabilities with proprietary safety standards and requirements.

MasterInterview is your ultimate AI interview coach, designed to help you master job-specific interviews through interactive sessions. Backed by industry experts and powered by advanced GPT-4 technology, the platform offers personalized feedback, tailored interview questions, and virtual interview sessions with a fox avatar. With comprehensive feedback and revised answers, MasterInterview aims to assist candidates in landing their dream jobs effectively and efficiently.

The website is a platform that focuses on AI-related jobs and opportunities. It provides a comprehensive list of job openings in the field of artificial intelligence, including positions such as software engineers, machine learning engineers, NLP engineers, and more. Users can search for jobs based on location, role, and specific tags. The platform also features information about various AI startups and their open positions, aiming to connect job seekers with opportunities in the AI industry.

The Software Engineer Interview Questions Generator is an AI-powered tool that helps software engineers prepare for interviews by generating a wide range of technical questions related to various programming languages, frameworks, databases, and cloud services. Users can select specific topics of interest and customize the number of questions to generate. The tool leverages advanced natural language processing capabilities to provide relevant and challenging interview questions, making it a valuable resource for job seekers in the tech industry.

Tredence is a data science and AI services company that provides end-to-end solutions for businesses across various industries. The company's services include data engineering, data analytics, AI consulting, and machine learning operations (MLOps). Tredence has a team of experienced data scientists and engineers who use their expertise to help businesses solve complex data challenges and achieve their business goals.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Auto_Jobs_Applier_AIHawk is an AI-powered job search assistant that revolutionizes the job search and application process. It automates application submissions, provides personalized recommendations, and enhances the chances of landing a dream job. The tool offers features like intelligent job search automation, rapid application submission, AI-powered personalization, volume management with quality, intelligent filtering, dynamic resume generation, and secure data handling. It aims to address the challenges of modern job hunting by saving time, increasing efficiency, and improving application quality.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

This repository provides comprehensive roadmaps for various roles in the Data Analytics, Data Science, and Artificial Intelligence industry. It aims to guide individuals, whether students or professionals, in understanding the required skills and timeline for different roles, helping them focus on learning the necessary skills to secure a job. The repository includes detailed guides for roles such as Data Analyst, Data Engineer, Data Scientist, AI Engineer, Computer Vision Engineer, Generative AI Engineer, Machine Learning Engineer, NLP Engineer, and Domain-Specific ML Topics for Researchers.

DeepLearning-Interview-Awesome-2024 is a repository that covers various topics related to deep learning, computer vision, big models (LLMs), autonomous driving, smart healthcare, and more. It provides a collection of interview questions with detailed explanations sourced from recent academic papers and industry developments. The repository is aimed at assisting individuals in academic research, work innovation, and job interviews. It includes six major modules covering topics such as large language models (LLMs), computer vision models, common problems in computer vision and perception algorithms, deep learning basics and frameworks, as well as specific tasks like 3D object detection, medical image segmentation, and more.

An artificial intelligence framework entirely written in Java for game development with libGDX. It is a high-performance framework providing common AI techniques used in the game industry, covering movement AI, pathfinding, decision making, and infrastructure. The framework is designed to be used with libGDX but can be used independently. Current features include steering behaviors, formation motion, A* pathfinding, hierarchical pathfinding, behavior trees, state machine, message handling, and scheduling.

crewAI is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It provides a flexible and structured approach to AI collaboration, enabling users to define agents with specific roles, goals, and tools, and assign them tasks within a customizable process. crewAI supports integration with various LLMs, including OpenAI, and offers features such as autonomous task delegation, flexible task management, and output parsing. It is open-source and welcomes contributions, with a focus on improving the library based on usage data collected through anonymous telemetry.

LLM-on-Ray is a comprehensive solution for building, customizing, and deploying Large Language Models (LLMs). It simplifies complex processes into manageable steps by leveraging the power of Ray for distributed computing. The tool supports pretraining, finetuning, and serving LLMs across various hardware setups, incorporating industry and Intel optimizations for performance. It offers modular workflows with intuitive configurations, robust fault tolerance, and scalability. Additionally, it provides an Interactive Web UI for enhanced usability, including a chatbot application for testing and refining models.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

MaxText is a high performance, highly scalable, open-source Large Language Model (LLM) written in pure Python/Jax targeting Google Cloud TPUs and GPUs for training and inference. It aims to be a launching off point for ambitious LLM projects in research and production, supporting TPUs and GPUs, models like Llama2, Mistral, and Gemma. MaxText provides specific instructions for getting started, runtime performance results, comparison to alternatives, and features like stack trace collection, ahead of time compilation for TPUs and GPUs, and automatic upload of logs to Vertex Tensorboard.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

Scores and Optimizes LinkedIn posts with industry-specific insights

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AI and regulation news research assistant, finds all the AI-related industry information for and with you.

Film studio safety expert guiding on regulations and practices

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