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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Quality Director, New Product Development and Product Lifecycle Management
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: arun.t@cynetsystems.com
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Content Writer||Influencer||Teacher||Open for Brand Collaboration and Promotion|| Learner ||Teacher || Computer science || Excel || SQL || Python || Power BI || Dashboard||technical content creator
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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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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AI Engineer Intern at Kalbe Farma | ML Engineer @X Corp | B.C.Sc in Artificial Intelligence | NVIDIA Deep Learning Certified
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 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 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
