Jessie Addison’s Post

📣 Full Stack Engineer - Delhi - Remote 📢 Data Scientist - Spotify For Artists - New York - Remote 📣 Cloud Support Engineer (331) - Florianópolis - Remote 📢 AWS Cloud Security Engineer - Remote 📣 Implementation Engineer - IAM - Mumbai - Remote 🔍 Navigating Challenges: AMD's Second AI Act Under Scrutiny 🤖 AMD's second AI Act is facing increased scrutiny as it aims to make waves in the competitive AI landscape. This development highlights the challenges and opportunities within the rapidly evolving tech industry. 0 At WhoDooUNode.com, we connect IT professionals with opportunities to work on groundbreaking technologies and navigate the complexities of the tech world. If you're passionate about AI and eager to be part of innovative solutions, our platform is your gateway to exciting career paths. Discover roles that put you at the forefront of AI advancements by visiting WhoDooUNode.com. Learn more about AMD's latest AI endeavors [here](https://lnkd.in/g2GvENEs). #AI #TechInnovation #CareerOpportunities #ITJobs #WhoDooUNode #AMD

📣 Full Stack Engineer - Delhi - Remote 📢 Data Scientist - Spotify For Artists - New York - Remote 📣 Cloud Support Engineer (331) - Florianópolis - Remote 📢 AWS Cloud Security Engineer - Remote 📣 Implementation Engineer - IAM - Mumbai - Remote 🔍 Navigating Challenges: AMD's Second AI Act Under Scrutiny 🤖 AMD's second AI Act is facing increased scrutiny as it aims to make waves in the competitive AI landscape. This development highlights the challenges and opportunities within the rapidly evolving tech industry. 0 At WhoDooUNode.com, we connect IT professionals with opportunities to work on groundbreaking technologies and navigate the complexities of the tech world. If you're passionate about AI and eager to be part of innovative solutions, our platform is your gateway to exciting career paths. Discover roles that put you at the forefront of AI advancements by visiting WhoDooUNode.com. Learn more about AMD's latest AI endeavors [here](https://lnkd.in/g2GvENEs). #AI #TechInnovation #CareerOpportunities #ITJobs #WhoDooUNode #AMD

📣 Full Stack Engineer - Delhi - Remote 📢 Data Scientist - Spotify For Artists - New York - Remote 📣 Cloud Support Engineer (331) - Florianópolis - Remote 📢 AWS Cloud Security Engineer - Remote 📣 Implementation Engineer - IAM - Mumbai - Remote 🔍 Navigating Challenges: AMD's Second AI Act Under Scrutiny 🤖 AMD's second AI Act is facing increased scrutiny as it aims to make waves in the competitive AI landscape. This development highlights the challenges and opportunities within the rapidly evolving tech industry. 0 At WhoDooUNode.com, we connect IT professionals with opportunities to work on groundbreaking technologies and navigate the complexities of the tech world. If you're passionate about AI and eager to be part of innovative solutions, our platform is your gateway to exciting career paths. Discover roles that put you at the forefront of AI advancements by visiting WhoDooUNode.com. Learn more about AMD's latest AI endeavors [here](https://lnkd.in/g2GvENEs). #AI #TechInnovation #CareerOpportunities #ITJobs #WhoDooUNode #AMD

🌐 Data & AI Practice: Who We Are Hiring for FinServ Engagements 📈 Financial services are evolving fast, and AI is leading the charge! But before financial institutions can fully embrace AI's potential, they need the right talent to tackle legacy systems and fragmented data. At Celestial Systems, we're addressing these challenges and helping financial services organizations accelerate their digital transformation journey. 🚀 In our latest blog, we explore: 🔹 The growing role of AI in the financial sector 🔹 Key challenges like legacy infrastructures 🔹 Roles we're actively hiring for: Cloud Engineers, Data Scientists, DevOps, and more! Read more to discover how you can be part of this AI revolution in FinServ 👉 https://hubs.li/Q02SjmmW0 #Hiring #FinServ #AI #DataScience #CloudComputing #DigitalTransformation #CelestialSystems #TechJobs

#hiring *Distinguished Engineer, Generative AI Systems (Remote Eligible)*, Chicago, *United States*, $314K, fulltime #opentowork #jobs #jobseekers #careers $314K #Chicagojobs #Illinoisjobs #ITCommunications *Apply*: https://lnkd.in/g7ChDChr Locations: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDistinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelo

#hiring *Distinguished Engineer, Generative AI Systems (Remote Eligible)*, New York City, *United States*, $314K, fulltime #opentowork #jobs #jobseekers #careers $314K #NewYorkCityjobs #NewYorkjobs #ITCommunications *Apply*: https://lnkd.in/g2tCMb_A Locations: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDistinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifica

#hiring *Distinguished Engineer, Generative AI Systems (Remote Eligible)*, Chicago, *United States*, $314K, fulltime #opentowork #jobs #jobseekers #careers $314K #Chicagojobs #Illinoisjobs #ITCommunications *Apply*: https://lnkd.in/gXKJAZEP Locations: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDistinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelo

#hiring *Distinguished Engineer, Generative AI Systems (Remote Eligible)*, Atlanta, *United States*, $314K, fulltime #opentowork #jobs #jobseekers #careers $314K #Atlantajobs #Georgiajobs #ITCommunications *Apply*: https://lnkd.in/ggMN-x-k Locations: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDistinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor'

#hiring *Distinguished Engineer, Generative AI Systems (Remote Eligible)*, Richmond, *United States*, $314K, fulltime #opentowork #jobs #jobseekers #careers $314K #Richmondjobs #Virginiajobs #ITCommunications *Apply*: https://lnkd.in/g8NdyDVF Locations: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDistinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bach

#hiring *Distinguished Engineer, Generative AI Systems (Remote Eligible)*, San Francisco, *United States*, $314K, fulltime #opentowork #jobs #jobseekers #careers $314K #SanFranciscojobs #Californiajobs #ITCommunications *Apply*: https://lnkd.in/gphC2qy8 Locations: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDistinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qua