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Hi everyone! I'm designing an introductory machine learning class for junior and senior computer science students and need your help. For ML hiring managers: what technical and non-technical skills do you look for in new hires? For my technical ML geek colleagues: what fundamental skills and topics are essential for students to master to build a solid ML foundation and succeed in their careers? Your insights will help shape a curriculum that prepares students for the future. Thanks in advance for your input! #MachineLearning #Education #CareerDevelopment
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"🤔 Confused about the differences between Software Engineering, IT, Computer Science, Data Science, and AI? Check out this handy table to understand the focus, key skills, and typical job positions in each field! 🌟 Whether you're coding, managing networks, diving into algorithms, crunching data, or creating intelligent systems, there's a perfect tech career path for everyone! 🚀 #TechCareers #SoftwareEngineering #IT #ComputerScience #DataScience #AI"
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Certified MERN Stack & Next.js Developer || Dedicated to Frontend Engineering excellence || I help you scale your business with scalable, user-centric Mobile App Solutions || GenAI Enthusiast
#ai_fun_news Devin AI is hiring Human Software engineers🤣🤣 #Devin The AI Software Engineer Founded by Cognition Labs. Which is hiring human software engineers😂🤣. So be easy AI is not going to replace human beings. AI is just an assistant for the software engineers. Real developers should be happy to see such AI tools because these tools will boost their development speed. Now software engineers can build more software and can earn more revenue.
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Founder, HumaLitix🔹Data & AI🔹I/O Psychology & Behavioural Science🔹Transforming Organisations with People-Centric Data and AI adoption solutions
The real risk for Software Engineers is not AI taking away jobs! The real risk is: * Where computer science / core software skills still matter, the complexity and entry barrier is going up rapidly. If you want to compete in this space, better up your game! (Math, Infra, Algorithms, Models, Data Engineering, scalability etc) * Where the software complexity is lower (read where mediocre skills suffice), AI will eventually do the bulk of heavy lifting with code, debugging etc, and the real play will be in understanding the business / use cases / end user experience etc. Which means domain experts from the specific industry / domain (assisted by AI) will have a competitive edge! If you are not truly passionate about computer science / engineering, mediocre software skills no longer suffice. Build business / domain skills to stay relevant! #artificialintelligence #datascience #futureofwork #worklifetales
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Having worked with many teams over time, I have realized that building a successful AI product requires a combination of ML Engineers and Software Engineers. They both bring a wealth of complementary skills to the table. While software developers excel in coding, debugging, and building applications, ML engineers focus on creating models, understanding algorithms, and managing large datasets. The overlap? Both need strong programming skills, but their approaches differ. What do you think is the most crucial skill for each role? #TechSkills #MLEngineering #SoftwareDevelopment
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Milo and I are seeking a full-time Machine Learning Engineer role in London (pictured)! Having spent the last five years in startup software engineering, I’m now specialising in MLOps and the productionisation of ML Models and LLMs. I recently completed my qualification as a Machine Learning Engineer at Le Wagon following the experience I’ve been building in startup software engineering and am currently contracting as an ML Engineer. I’ve previously co-designed and shipped software products, managed teams of engineers, and continued to develop my love for software engineering. If anyone in the AI/ML engineering space has any wisdom to impart or any openings I’d love to chat, especially in health tech! I cannot thank my family, pals, mentors and teachers enough for their guidance and support this year whilst I transition into ML/AI namely Lily Hibbert, Simon Hibbert, Hassan Thwaini, Gregor Repsold, Anthony Levy, Steve Myint, Catriona Beamish, Adrian Samuel, Nina Thoni, Tom Ashcroft, Sydney Joi Agcaoili Colm O'Carroll, Sophia Bouchama, Tom Shannon, Jaideep Kapur, Luca Figari Spiniello, Chris Branson, Kayle Dolpire, Renato Boemer Mischa Dhar to name a few. #mlops #systemdesign #python #ai #machinelearning #mlalgorithms #llm #rag #gcp #aws #azure #milo
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We're hiring a Machine Learning research scientist or engineer to work on active learning for small-data and data-limited domains, especially biology. To do this, we're developing RL-flavored transformer-successor systems that learn a model of the world through interactive observation. These systems then mechanistically reason over that model to select actions, infer hidden states (e.g. perception), and assess uncertainty (e.g. for improving the model, counterfactual reasoning, and constraint satisfaction). Unlike other approaches leveraging LLMs, we do not pretrain with human data - competency is wholly bootstrapped. (By induction, if we can go from 0 -> 1, then we can also go 1 -> N.) This research is funded by Schmidt Futures, hence we will publish our results and encourage collaborations. Please send a message if this interests you! [email protected]
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I am currently partnered with a start-up incubated at Stanford, who are catalyzing the use of Neural Interfaces in the AI-driven space. 🎯 Taking a human-centric approach, the team are working on the solution to the amount of time that is lost on technology which could be better integrated into our daily lives. I am looking for US-based software engineers who have experience working on bio-signals software with data science & any ML tech. React out or tag those in your network below. 📲 #machinelearning #software #startup #ai #datascience
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Opportunity
We are hiring at Voxel51! If you are a machine learning engineer who loves open source, computer vision, coding, writing, speaking and interacting with other developers, consider applying - https://lnkd.in/gTPXpgVP #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience #devrel
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Software Engineer vs ML Engineer: A Career Guide for 2024 https://lnkd.in/gvysN6T9 Both Software Engineering and Machine Learning Engineering offer exciting career prospects, each with its unique challenges and rewards. Aspiring professionals should assess their interests, skills, and long-term goals to make an informed decision. #SoftwareEngineer #MachineLearningEngineer #TechIndustry #ProgrammingLanguages #MachineLearning #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine
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Senior Solutions Engineer
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