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"Unlocking Careers: Software Engineer, Data Scientist, and ML Engineer" Are you curious about the differences between these in-demand roles? Software Engineer Designs, develops, and tests software applications Focuses on coding, algorithms, and software architecture Ensures scalability, reliability, and maintainability Skills: Programming languages, data structures, software design patterns Data Scientist Extracts insights from data using statistical and machine learning techniques Focuses on data analysis, visualization, and modeling Communicates findings to stakeholders and informs business Machine Learning Engineer Develops and deploys predictive models and Al systems Focuses on model development, training, and deployment Ensures scalability, efficiency, and reliability of ML systems Skills: Machine learning, deep learning, programming languages, software engineering Key Differences: Software Engineers focus on software development Data Scientists focus on data analysis and insights ML Engineers focus on building and deploying Al systems Top Companies Hiring: Google Amazon Microsoft Facebook IBM Share your experiences or questions about these roles! #Software Engineer #DataScientist #MLEngineer #Career Development #TechJobs #ArtificialIntelligence #MachineLearning

32 of 35 #job #openings on 5/8 ✴️ Applied #scientist, #ai ✴️ Amazon #checkitout, #share and #follow! #opportunity #usajobs #usa #hiring #hiringnow #open #jobsearch #reshare #engineeringjobs #engineering #givingback #spreadtheword #connectandgrow #repost

There is this person who broke the Internet recently............ Yess, U guessed It right, It's Devin 😃. Devin, the world’s first AI software engineer, can write codes, create websites, and software with just a single prompt. Does this mean will it replace the software development Jobs??? Not really, as claimed by Cognition, this AI tool is not intended to replace human engineers but to assist them and make their work easier. To get the early access of Devin AI a form need to be submitted in the below link - https://lnkd.in/dYsbUGzZ #ai #devinai #nocodedevelopment #infitex #softwaredevelopment

#hiring Applied Scientist - Rufus, Amazon, Mitte, Germany, fulltime #opentowork #jobs #jobseekers #careers #Mittejobs #Berlinjobs #ScienceTechnology Apply: https://lnkd.in/dtwksjcE We are reimagining Amazon Search by introducing an interactive conversational experience that makes finding the perfect product easier than ever. With our state-of-the-art Large Language Model

Have a hunch that hiring for tech will start to pick again, as AI wave is subsiding with more realistic expectations. While hiring might come back to pre-covid normal levels, competition for same has increased multi-fold. If you’re graduating or planning to prepare for your next switch- make it a point to dive deep and be hands on with things. As competition increases and everyone is leetcoding, nuances of Low level design, System Design and knowledge of development will take a front seat alongside problem solving, in hiring. It is as rare to find passionate, driven engineers with high degree of ownership and learning aptitude, as it has ever been. Best is to be one. 

Immediate Internal Requirement, Role: ML Engineer (Microsoft's DiT/OCR) Location: Remote Experience Level: Midlevel Single Round Interview send me only genuine profiles Must have: Microsoft's DiT,0CR,Python Good to have: Java, Spring boot, Micro Services Employment Authorization: USC/GC/ GC-EAD/H1B (NO OPT/CPT) Requirements: Bachelor's or higher degree in Computer Science, Machine Learning, or a related field. Proven experience in maintaining and enhancing machine learning systems, preferably in document processing. Strong proficiency in Python and relevant machine learning libraries/ frameworks like TensorFlow, PyTorch Proven expertise in working with Image Transformer models, particularly those designed for document image understanding like Microsoft's DIT Demonstrated experience in implementing and working with self- supervised learning techniques, especially in the context of pre- training models on large-scale unlabeled text images. Familiarity with approaches like Microsoft's DiT for Document Al tasks. Hands-on experience in applying Transformer models to various Document Al tasks, including document image classification, document layout analysis. Proven ability to leverage self-supervised pre-trained models, like DiT, as backbone networks to achieve state-of-the-art results in downstream tasks. Proficient in designing experiments, analyzing results, and fine-tuning models to achieve optimal performance on Document Al tasks. Ability to interpret and communicate experiment results effectively. Familiarity with integrating Transformer models into OCR pipelines and collaborating with OCR technologies for enhanced text detection and extraction capabilities. Solid understanding of image processing techniques with a focus on leveraging OpenCV for tasks such as resizing, feature extraction, and other pre-processing steps essential for document image analysis and understanding. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker). Excellent problem-solving skills and ability to work independently. Strong communication skills and ability to collaborate with cross- functional teams. Responsibilities: Maintain and optimize the existing document code prediction system. Collaborate with cross-functional teams to understand business requirements and implement enhancements. Monitor system performance and troubleshoot issues as they arise. Stay updated on the latest advancements in machine learning and implement improvements to the prediction model. Explore and identify new machine learning opportunities within the document processing domain. Please send me your resume to [email protected] #machinelearning #ai #python #mlengineer #ml

🚀 Exciting News in the World of Tech: Meet Devin - The World's First AI Software Engineer! 🚀 In an unprecedented leap forward for artificial intelligence, we're now witnessing the emergence of Devin, the first AI designed to function as a software engineer. Capable of writing, debugging, and deploying code, Devin is not just a tool but a game-changer in how we approach software development. What sets Devin apart? It's not just another large language model; Devin can autonomously create functioning websites and products, outperforming state-of-the-art models like GPT-4 and Gemini. With the ability to complete jobs on Upwork, ace interviews at top AI companies, and excel in coding benchmarks, Devin is redefining what AI can do in the tech industry. But how does it work? Devin begins with a user's prompt to build a website or software program, systematically planning and implementing the solution. Equipped with its own command line, code editor, and browser, Devin tackles each task with precision, even debugging its own code along the way. Early demos have shown Devin can build entire websites and simple games in minutes, showcasing not just speed but a level of autonomy and problem-solving ability that's truly remarkable. In a test, Devin was able to solve 13.86% of open issues on Github, which is significantly higher than the performance of other AI-powered assistants such as Anthropic's Claude (4.8%) and GPT-4(1.8%.) This innovation isn't just about the technical prowess of AI; it's about the potential to transform how we build, innovate, and think about technology. Devin represents a step into a future where AI partners in the creative and development processes, pushing the boundaries of what's possible. Let's discuss! What do you think the implications of AI like Devin could be for the future of software engineering and tech industries? Could this be the beginning of a new era in AI-assisted development? To use Devin, join the waitlist through the website https://lnkd.in/gmxP486x #ArtificialIntelligence #SoftwareEngineering #Innovation #TechNews #coding #openai

Two Key questions we asked ourselves in an earlier article on The End of coding in the Age of AI (Read it here >> https://lnkd.in/eQNQTU5A) 1. Do you believe #coding will remain an essential #skill? 2. How do you imagine AI will change how we create #technology ? #Devin #AI is the world's first fully autonomous AI #software engineer developed by Cognition, an applied AI lab. Devin can plan and execute complex engineering tasks, learn unfamiliar technologies, build and deploy apps end-to-end, and even autonomously fix bugs in codebases. It can also train and fine-tune its AI models, address bugs and feature requests in open-source repositories, and contribute to mature production repositories. Devin has shown impressive performance, correctly resolving 13.86 percent of issues end-to-end, far exceeding the previous state-of-the-art. Amazing stuff : https://lnkd.in/esmb3hVT

Immediate Internal Requirement, Role: ML Engineer (Microsoft's DiT/OCR) Location: Remote Experience Level: Midlevel Single Round Interview send me only genuine profiles Must have: Microsoft's DiT,0CR,Python Good to have: Java, Spring boot, Micro Services Employment Authorization: USC/GC/ GC-EAD/H1B (NO OPT/CPT) Requirements: Bachelor's or higher degree in Computer Science, Machine Learning, or a related field. Proven experience in maintaining and enhancing machine learning systems, preferably in document processing. Strong proficiency in Python and relevant machine learning libraries/ frameworks like TensorFlow, PyTorch Proven expertise in working with Image Transformer models, particularly those designed for document image understanding like Microsoft's DIT Demonstrated experience in implementing and working with self- supervised learning techniques, especially in the context of pre- training models on large-scale unlabeled text images. Familiarity with approaches like Microsoft's DiT for Document Al tasks. Hands-on experience in applying Transformer models to various Document Al tasks, including document image classification, document layout analysis. Proven ability to leverage self-supervised pre-trained models, like DiT, as backbone networks to achieve state-of-the-art results in downstream tasks. Proficient in designing experiments, analyzing results, and fine-tuning models to achieve optimal performance on Document Al tasks. Ability to interpret and communicate experiment results effectively. Familiarity with integrating Transformer models into OCR pipelines and collaborating with OCR technologies for enhanced text detection and extraction capabilities. Solid understanding of image processing techniques with a focus on leveraging OpenCV for tasks such as resizing, feature extraction, and other pre-processing steps essential for document image analysis and understanding. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker). Excellent problem-solving skills and ability to work independently. Strong communication skills and ability to collaborate with cross- functional teams. Responsibilities: Maintain and optimize the existing document code prediction system. Collaborate with cross-functional teams to understand business requirements and implement enhancements. Monitor system performance and troubleshoot issues as they arise. Stay updated on the latest advancements in machine learning and implement improvements to the prediction model. Explore and identify new machine learning opportunities within the document processing domain. Please send me your resume to [email protected] #machinelearning #ai #python #mlengineer #ml

Immediate Internal Requirement, Role: ML Engineer (Microsoft's DiT/OCR) Location: Remote Experience Level: Midlevel Single Round Interview send me only genuine profiles Must have: Microsoft's DiT,0CR,Python Good to have: Java, Spring boot, Micro Services Employment Authorization: USC/GC/ GC-EAD/H1B (NO OPT/CPT) Requirements: Bachelor's or higher degree in Computer Science, Machine Learning, or a related field. Proven experience in maintaining and enhancing machine learning systems, preferably in document processing. Strong proficiency in Python and relevant machine learning libraries/ frameworks like TensorFlow, PyTorch Proven expertise in working with Image Transformer models, particularly those designed for document image understanding like Microsoft's DIT Demonstrated experience in implementing and working with self- supervised learning techniques, especially in the context of pre- training models on large-scale unlabeled text images. Familiarity with approaches like Microsoft's DiT for Document Al tasks. Hands-on experience in applying Transformer models to various Document Al tasks, including document image classification, document layout analysis. Proven ability to leverage self-supervised pre-trained models, like DiT, as backbone networks to achieve state-of-the-art results in downstream tasks. Proficient in designing experiments, analyzing results, and fine-tuning models to achieve optimal performance on Document Al tasks. Ability to interpret and communicate experiment results effectively. Familiarity with integrating Transformer models into OCR pipelines and collaborating with OCR technologies for enhanced text detection and extraction capabilities. Solid understanding of image processing techniques with a focus on leveraging OpenCV for tasks such as resizing, feature extraction, and other pre-processing steps essential for document image analysis and understanding. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker). Excellent problem-solving skills and ability to work independently. Strong communication skills and ability to collaborate with cross- functional teams. Responsibilities: Maintain and optimize the existing document code prediction system. Collaborate with cross-functional teams to understand business requirements and implement enhancements. Monitor system performance and troubleshoot issues as they arise. Stay updated on the latest advancements in machine learning and implement improvements to the prediction model. Explore and identify new machine learning opportunities within the document processing domain. Please send me your resume to [email protected] #machinelearning #ai #python #mlengineer #ml