Ai Build Limited
Field Solutions Developer IV, Generative AI, Google Cloud
Ai Build Limited, Cambridge, Massachusetts, us, 02140
Field Solutions Developer IV, Generative AI, Google Cloud
Google
Published 14 Sep 2024Share this job
Cambridge, MA, USA$221,000-$314,000 annuallyFull Time27500 - 275000 peopleRole Highlights
PythonComputer VisionGenerative AIML OpsPrompt EngineeringApplied MLFine TuningPattern RecognitionComputer ScienceCICDMathematicsNLPStatisticsAutomationIACDataCloudStartupInfrastructureTools, Libraries and Frameworks
GCPTerraformJAXTensorflowPyTorchDescription
The role involves developing and prototyping Generative AI applications tailored to various Google Cloud customers, from startups to large companies. The developer will leverage cutting-edge Generative AI technologies to create innovative solutions and demonstrate these capabilities in collaboration with clients. Additionally, the position focuses on optimizing model performance and integrating data and infrastructure within cloud solutions. The developer will also play a crucial role in shaping product direction by advocating for customer requirements.Required Qualifications and Skills
A Bachelor's degree in Science, Technology, Math, or Engineering is required, with a preference for a Master's degree in a related technical field. Ten years of experience in AI applications is necessary, particularly in Deep Learning, NLP, Computer Vision, and Pattern Recognition. Candidates should be knowledgeable in statistical programming, applied machine learning techniques, and OSS frameworks. Experience in designing and deploying ML frameworks and systems design, including data and ML pipelines, is also essential.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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Published 14 Sep 2024Share this job
Cambridge, MA, USA$221,000-$314,000 annuallyFull Time27500 - 275000 peopleRole Highlights
PythonComputer VisionGenerative AIML OpsPrompt EngineeringApplied MLFine TuningPattern RecognitionComputer ScienceCICDMathematicsNLPStatisticsAutomationIACDataCloudStartupInfrastructureTools, Libraries and Frameworks
GCPTerraformJAXTensorflowPyTorchDescription
The role involves developing and prototyping Generative AI applications tailored to various Google Cloud customers, from startups to large companies. The developer will leverage cutting-edge Generative AI technologies to create innovative solutions and demonstrate these capabilities in collaboration with clients. Additionally, the position focuses on optimizing model performance and integrating data and infrastructure within cloud solutions. The developer will also play a crucial role in shaping product direction by advocating for customer requirements.Required Qualifications and Skills
A Bachelor's degree in Science, Technology, Math, or Engineering is required, with a preference for a Master's degree in a related technical field. Ten years of experience in AI applications is necessary, particularly in Deep Learning, NLP, Computer Vision, and Pattern Recognition. Candidates should be knowledgeable in statistical programming, applied machine learning techniques, and OSS frameworks. Experience in designing and deploying ML frameworks and systems design, including data and ML pipelines, is also essential.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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