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Many job seekers tell me they’ve been missing out on jobs and internships that would be suitable for remote work. I've optimized AI automation to collect these jobs for you, saving students and recent grads dozens of hours. Currently we can detect open positions in more than a thousand companies These positions are available to candidates who are actively seeking employment in the following industries: 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: positions in deep learning, machine learning, large language models, artificial intelligence, etc. If you need us to help you collect open positions, you can give me your email address and job requirements, or fill out the questionnaire below. I will recommend open positions to you every week based on your situation to save you time. https://shorturl.at/dorDI #篱笆教育 #篱笆老师 #Libaspace

Deep Learning is a specialised field within AI and Machine Learning that is growing rapidly and becoming more and more popular amongst companies who are hiring in Artificial Intelligence. Check out Chris Morrow's video to hear some of the golden nuggets he shares about Deep Learning and how you can become a specialist in this growing field! 👇 #AI #DeepLearning #MachineLearning #TechnologyRecruitment

💡 Currently, there is much discussion about the impact of AI in the workplace and the future of work. While many professions may feel threatened by what this future holds for their job security, there are also numerous opportunities to harness the benefits that AI and Generative AI will bring to our daily lives.   For young people considering a career in STEM, or STEAM (which includes arts), there is a significant opportunity for roles in this area. Here are some ideas and resources to explore if this is something you're interested in!   These roles span a variety of technology and creative industries, including the following which will offer entry-level and internship positions:   🤖 Data Scientist 🤖 Machine Learning Engineer 🤖 Robotics Engineer 🤖 AI Research Scientist 🤖 Digital and Data Engineer 🤖 Business Intelligence Developer 🤖 Computer Programmer 🤖 Transcriptionist 🤖 Cyber Security Specialist 🤖 Website developer and coder 🤖 AI product creation   These roles will require a blend of hard and soft skills, as well as competencies in a variety of subjects, so it's worth researching what they entail and how you could access them.  Here are some helpful resources to look at 👇   >> For more about the opportunities for young people in AI roles via FE News: https://lnkd.in/gqYRzk82 >> For more opportunities to grow your skills see https://lnkd.in/gVhCBJXt 👉 Set up your profile and access courses on our open access Learning platform. These new courses are coming soon to our platform: ⏩ Cyber security  ⏩ Data Science ⏩ Ethical Hacker   👉 Follow the YAC Page and keep your eyes peeled for other STEM sectors and roles we will be highlighting 👏 #Careers #STEM #AI #GenAI #Interns #Graduates

The most interesting thing in AI Recruitment: Deep Learning careers - a guide to becoming a specialist! Deep Learning is a highly specialised field of AI and it’s also growing quite considerably in popularity amongst companies who are hiring in AI! Becoming a deep learning specialist involves mastering advanced mathematics, programming, and cloud computing. Key mathematical concepts include linear algebra, calculus, and statistics. Proficiency in programming languages such as Python, Java, and C++ is essential, along with familiarity with libraries like Numpy, Pandas, and frameworks like TensorFlow and PyTorch. My advice on how to become a specialist in Deep Learning: 1. Open-Source Contributions: Engaging in open-source projects can provide practical experience and visibility in the AI community. 2. Cloud Proficiency: Mastering cloud technologies like AWS, containerisation, and high-core GPU programming can set candidates apart. 3. Continual Learning: The fast-paced nature of AI necessitates ongoing education and adaptation to new tools and techniques. 4. Interdisciplinary Skills: Combining knowledge from different domains (e.g., data science and cloud computing) can enhance problem-solving abilities. 5. Networking and Internships: Building a professional network and gaining practical experience through internships can provide valuable career opportunities. What do you think? Thanks for everything and see you at work! ❤️ Chris Digitalent - AI & Machine Learning Recruitment

Seeking opportunities in Machine Learning or Deep Learning. Fresh graduate with strong theoretical knowledge and practical experience in TensorFlow and PyTorch. Open to collaborations, internships, or entry-level positions. Let's connect! #AI #ML #DL #openforwork #artificialintelligence #deeplearning #machinelearning

Are you looking for a new challenge in the field of AI? We are hiring for a Data & AI engineer position at Nexplore AG and received many applications. But what is important to us? Experience - Which technologies have you been using? What frameworks, what languages, and at what level? - You should have real project experience. Theoretical education and a learning path are the baseline. - What exactly have you done in the project? Did you just work on the project, or did you discuss and decide on key elements of the architecture? Education - Do not  exaggerate: Have you finished your BSc or MSc and are you an expert in the latest frameworks with 5 stars or 100%? If you have taken three internships, you are not a master of the technology. Neither am I. - Do you need to have a Bachelor’s, Master’s, or even a PhD? From my personal experience, none is a necessity. There are great people with open minds who are excellent engineers. On the other hand, a PhD with a 10+ year study background - without any practical experience - might be very challenged by the first real project. A BSc with 5 years of work experience is in a better position. Mindset - Be honest. If there are gaps in your CV, discuss them openly. If there were problems in your last job and you received notice, I would expect a brief explanation as to why. - Be open-minded. The field of AI is just exploding. Stay curious, hungry, and keep on learning. - Be a team player. We at Nexplore AG are working together. There is no personal bonus. We win together, and we are fighting together for our customers and to finish the assignments and tasks we agreed to take on. TLDNR For me, it is important to understand where you stand. What is your experience? Who are you? What do you want in your professional life? Looking forward to your feedback: How does it feel on the other side of the table? I have been there myself nearly 2 years ago. Credits: Gpt4 for revising my text (content written by myself of course), Photo by Clem Onojeghuo on Unsplash

In the generative AI job market, qualifications play a significant role. Those with foundational AI and machine learning knowledge hold a 30% share, fitting roles like AI Assistant Developer and Junior Machine Learning Engineer. Master's Degree holders dominate at 52%, with practical experience from internships, landing roles such as AI Research Scientist and Machine Learning Specialist. Doctoral Degree holders, constituting 17%, focus on research positions, pushing AI boundaries as AI Technology Directors, NLG Specialists, and Heads of Research. These qualifications determine career paths in the dynamic, generative AI industry. To have a clear understanding, Generative AI Jobs Study - 2023 report by AIM Research on the Distribution of Generative AI jobs by different level of qualifications👇 📊 📈 #generativeai #india  #engineers  #dataengineering  #research  #media  #entertainment #hiring #technology #talent

Dear LinkedIn community, I'm thrilled to share the results of my recent summer internship! Over the course of two and a half months, I had the incredible opportunity to work on a cutting-edge project. During this internship, I developed a Resume Information Extraction System using Natural Language Processing (NLP) techniques and machine learning models, including the powerful BERT model. This project allows organizations to streamline the recruitment process by automatically extracting and analyzing key information from resumes. By harnessing the capabilities of NLP and machine learning, our solution not only saves time but also ensures a more thorough and unbiased evaluation of candidates. The predictive scores for candidates' experience and skills can significantly enhance the decision-making process in hiring. I want to express my deepest gratitude to my supervisor, Mohamed BEN ALI. whose mentorship and guidance were instrumental in the success of this project. I'd also like to extend my gratitude to 1waydev for providing me with this valuable learning experience. It's been a fantastic environment for personal and professional growth. If you're curious about the technical details or would like to learn more about my solution and how it can revolutionize the recruitment process, please feel free to reach out. I'm eager to share insights from this rewarding internship. This project has reaffirmed my belief in the power of technology and my ability to work independently, and I look forward to applying these skills to future endeavors. #Internship #NLP #MachineLearning #FineTuning #BERT #Recruitment #1WayDev #CareerGrowth #DataScience #AI

Hi Everyone, One of my friend with good internship experience in AI/ML is looking out to kick start her career. If there is anyone, hiring software engineers ( backend engineer, AI/ML engineer), would highly recommend to refer her profile. She is open to explore on other engineering profiles as well. Please ping me for more details or can contact her from resume. Will really appreciate if anyone have good references. https://lnkd.in/dB28YtYt Thanks, #machinelearnjng #hiring #codet #algorithms #datastructures #softwareengineers

It's rare to get an actual person on the other end of your inquiry/order/complaint; been that way for a while. Are we becoming more efficient or are we losing the personal touch experience? Report: AI Could Replace Some Interns, New Grads But students can improve their hiring potential by learning new skills The increased use of ChatGPT and other artificial intelligence (AI) in the workplace could reduce opportunities for students seeking internships or entry-level jobs, according to a new survey. And it may result in job loss for the workforce’s newest workers: 78 percent of hiring managers said AI use will lead to layoffs for recent graduates at their organizations.