New Role: Full Stack Engineer Apply: https://hubs.la/Q02DRjy80 Location: San Francisco, USA Salary: US$175000 - US$200000 per year Glocomms is partnering with an AI start-up company, who provides web and networking services to create decentralized computing systems using Open-Access AI Cloud. They are looking for an experienced Senior Software Engineer who share their passion for making AI globally accessible, secure, and affordable. Requirements: - Proficiency developing in Python and Golang - Experience in Cloud infrastructure models (i.e. PostgreSQL) - Exposure to AI Models, such as LLaMA3 💡 Learn more about this #opportunity by applying.
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#hiring Senior Fullstack Software Engineer, San Francisco, United States, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ITCommunications Apply: https://lnkd.in/gktYPfK8 The Power of AI In today's world, AI models are at the heart of countless businesses, transforming industries and streamlining processes. From Google Translate's language mastery to Amazon's personalized shopping recommendations, AI-driven solutions are shaping the way we live and work. Unlock the Potential of Data Pipelines At Linea, we empower companies to harness the full potential of their AI models by simplifying and automating the creation of data pipelines. Our groundbreaking product enables data engineers to generate pipelines directly from data science notebooks, track data flows and lineage, and swiftly identify and resolve issues. Leveraging reusable components extracted from existing pipelines, data engineers can efficiently build and update pipelines for optimal performance. The Linea Legacy Our origins stem from UC Berkeley's RISELab, where the founders of Databricks came from. Our world-class team comprises not only 3 of the roughly 10 global experts in our cutting-edge technology, but also a wealth of industry experience in MLOps from leading AI organizations such as LinkedIn, Google, Scale AI, Domino Data Lab, Microsoft, and NASA. Backed by Industry Titans We're proud to have the support of renowned advisors and investors, including the co-founders of Databricks and Kaggle, as well as the former US Chief Data Scientist. We've been fortunate to receive a significant amount of seed stage funding from top-tier venture funds, including .406, Zetta, Canvas, Essence, and Costanoa Join us in revolutionizing the AI-driven landscape and unlock the future of data pipelines with Linea. ResponsibilitiesYou will lead and design the front-end system for the Linea platform, which could include collaboration features such as comments, and less common features such as visualizations of graphs and code editors.You will make major architectural decisions about the front-end state management system to use, and set the foundation for the system.You will design and build web services based on Linea platform's backend.You will work with backend engineers and product owners, translating cross functional requirements to full stack work.Minimum Requirements4+ years of experience with building complex and fully fledged websites and web applications.Proven experience with JavaScript frameworks such as React/Redux.Proven coding skills in typed languages such as Typescript and Python.Experienced developer with MVC frameworks, such as FastAPI/Flask.Great communicator; good listener / curious / adaptable / collaborative.Nice to havesBachelor's or MS degree in Computer Science.Experience with cloud infrastructure and DevOps
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#hiring *Software Engineer (ML Platform)*, San Francisco, *United States*, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ITCommunications *Apply*: https://lnkd.in/gMp5CiNS About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.Anyscale is actively seeking talented engineers to join our team and contribute to the development of next-generation, high-performance machine learning serving systems. We value diversity and inclusion, and we encourage individuals from underrepresented groups to apply.Many existing ML serving tools are inherited from previous infrastructure generations, but emerging ML applications present new requirements, such as high compute demands, specialized hardware needs, and the integration of multiple models and business logic within a single request. At Anyscale, our mission is to provide a powerful yet simple set of tools that enable the seamless deployment of complex ML applications in production.About the Platform Team:The Platform team is dedicated to creating world-class systems for serving ML models in production. This includes building and maintaining the open-source Ray Serve library and contributing directly to the Anyscale platform used by our customers for critical applications. Our work is often user-facing, allowing you to collaborate with open-source users and customers ranging from lean ML engineering teams at small startups to industry-leading companies such as Uber, Shopify, and ByteDance.As part of this role, you will:Develop a highly available service for ML model serving.Enhance Ray Serve and our other libraries to simplify the development of next-generation ML applications in production.Improve our autoscaling capabilities to drive performance enhancements and cost savings.Optimize latency and throughput for both single- and multi-model serving scenarios.We'd love to hear from you if you have:A solid background in algorithms, data structures, and system design.Experience working with modern machine learning tooling, including PyTorch, TensorFlow, and JAX.At least 2+ year of relevant work experience.Bonus points!Experie
https://www.jobsrmine.com/us/california/san-francisco/software-engineer-ml-platform/461364753
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Title: #FullStack Software Engineer Location: Nevada CA Terms: Contract Job Details:We are looking for a seasoned Full Stack Software Engineer with over 10+ years of comprehensive experience in developing, deploying, and optimizing web applications. Specializes in leveraging Microsoft Azure services, including #Azure Cognitive Search and Azure OpenAI, to create sophisticated chat interfaces that allow users to interact with their own data in natural language, expertise in #Terraform, Infrastructure as Code, #Python, #PyTorch, and experience in web applications involving Large Language Models (LLM). Demonstrates a strong foundation in both front-end and back-end development, with a keen focus on integrating Azure #OpenAI 's large language models to power #ChatGPT-style and Q&A experiences. Core Competencies: Azure Cognitive Services: Proficient in utilizing Azure Cognitive Search for efficient data retrieval, enabling quick and relevant responses to user queries based on their own data Azure OpenAI Integration: Expert in integrating Azure OpenAI large language models to develop ChatGPT-style applications, allowing for natural language interactions with complex datasets Data Processing and Indexing: Skilled in uploading, processing, and indexing documents to make data searchable and retrievable through natural language queries Retrieval-Augmented Generation (RAG): Experienced in implementing the RAG pattern to augment chat responses with information retrieved from Azure Cognitive Search, enhancing the accuracy and relevance of chatbot replies #Semantic #Chunking: Knowledgeable in applying semantic chunking techniques to break down documents into manageable pieces for better processing by language models, improving the efficiency and effectiveness of data retrieval. Web Application Development: Proficient in full stack development, including designing user interfaces, developing server-side logic, and ensuring seamless integration between front-end and back-end technologies. Customization and Configuration: Adept at customizing chat behavior, prompts, and the overall user experience to meet specific organizational needs and data policies Expertise in Terraform, Infrastructure as Code, Python, PyTorch, and experience in web applications involving Large Language Models (LLM). Technical Skills:Languages: #JavaScript, Python, C#, #SQL, Terraform Frameworks/Libraries: .NET, Node.js, #React, #Angular. PyTorch Tools & Platforms: Azure OpenAI Service, Azure Cognitive Search, Azure AI Document Intelligence, Azure App Service, #GitHub, #Vault, Azure Application Insight Databases: #CosmosDB, Azure SQL Database DevOps: Azure DevOps, Docker, #Kubernetes Education: Master of Science in Computer Science or PHD is preferred Certifications:Microsoft Certified: Azure DevOps Engineer Expert or Azure Developer Associate Microsoft Certified: Azure AI Fundamentals Regards, Arun Tiwari Cynet Systems Sterling VA D: (571) 895-2635| E: [email protected]
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GOOD MORNING TECHIES 😊 🎉🎉Top 7 Highest Paying Tech Jobs _______________________________ for Coders & Engineers 📌Machine Learning Engineer: ➡️Develop and implement machine learning algorithms and models. ➡️Work on projects related to artificial intelligence and data science. 📌Data Scientist: ➡️Analyze and interpret complex data sets to inform business decision-making. ➡️Utilize statistical techniques and machine learning algorithms. 📌Blockchain Developer: ➡️Design, implement, and maintain blockchain solutions. ➡️Develop decentralized applications (DApps) and smart contracts. 📌DevOps Engineer: ➡️Focus on improving collaboration between development and operations teams. ➡️Automate and streamline the software delivery process. 📌Full-Stack Developer: ➡️Possess proficiency in both front-end and back-end development. ➡️Work on end-to-end development of web applications. 📌Cloud Solutions Architect: ➡️Design and implement scalable and secure cloud infrastructure. ➡️Work with cloud platforms like AWS, Azure, or Google Cloud. 📌Cybersecurity Engineer: ➡️Protect systems, networks, and programs from digital attacks. ➡️Implement security measures to safeguard sensitive information. 🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥 . . #techjobs #coders #engineers #cs #computersciencestudents #learners #programmer #developer #students #programminglanguages #cybersecurity #fullstackdeveloper #blockchain #machinelearning #datascientist #dataanalyst
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AI Engineer at Kalbe Farma | ML Engineer @X Corp | B.C.Sc in Artificial Intelligence | Founder of Data Sorcerers
When comparing the job ecosystem for AI Engineers at foreign companies (outside Indonesia) or even multinational companies within Indonesia, a significant difference becomes evident. These companies place a strong emphasis on the specialized role of AI Engineers, with a focus on skill sets that are directly related to artificial intelligence. Candidates are often evaluated on their knowledge of Machine Learning (ML) and Deep Learning (DL), their ability to perform Exploratory Data Analysis (EDA), and their experience in model training and research. This contrasts sharply with some local startup environments, where the AI Engineer role can sometimes encompass a much broader range of responsibilities, including Database System Management, Frontend Development, System Integration, and even deploying applications using Docker. The specialized focus in multinational and foreign companies allows AI Engineers to concentrate more deeply on developing and refining AI models, ensuring they stay at the forefront of technological advancements in the field.
Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring
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#Hiring alert Position- Lead Machine Learning Engineer Location- Remote Experience- 7+ years in Python, 3+ years in LLM, 3+years in machine learning, experience in GenAI, Lang Chain Experience in cloud (AWS gcp azure) interested candidates can DM or share their resume in [email protected] #interested #immediate #joiner #python #AI #LLM #GenAI #ML #MachineLearning #cloud #langchain #AWS #Azure #GCP #python
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DVA is not associated with this job posting AI-Augmented Full-Stack Principal Engineer Worldwide https://lnkd.in/gdFg5gDk Are you a full-stack engineer who thrives on complex challenges and is eager to make a real impact? Join our team to contribute to innovative products that deeply leverage AI and that are reshaping industries and changing the way we work and learn. Showcase your skills, not just your resume. Take on our challenges: 15-min Cognitive, 90-min Coding, 180-min Technical Decision-Making. Excel and you'll face a decisive interview with our Hiring Manager. More than half walk away with an offer. Ready to unleash your potential? Apply today! What you will be doing Building modern web apps using top-notch libraries and tools. Enhancing cloud-native backends using the latest serverless cloud patterns, including AWS. Reviewing code to ensure adherence to best practices, team standards, and customer requirements. What you will NOT be doing Spending time on minor bug fixes or features in outdated codebases. Dealing with tedious infrastructure to keep poorly written products running. Getting stuck in endless meetings discussing roadmaps and priorities or chasing people around. #career #jobsearch #careergoals #careerdevelopment #careeradvice #careeropportunities #careerprogression #careeradvancement #careerplanning #careerchange #careercoach #connect #networking #connection #immediatejoiner #experienced #freshers #cv #personaldevelopment #springboot #microservices #immediatehiring
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Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring
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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
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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
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