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Experience with one or more of the following public cloud providers: Google Cloud Platform (GCP – preferred), Amazon Web Services (AWS), Microsoft Azure. Leveraging the world’s largest energy efficiency dataset — over 1 trillion data points and counting — our team marries decades of industry experience in design, construction, and maintenance of building energy systems with machine learning and advanced thermodynamic simulation technology to provide the real estate industry’s most effective solution for optimizing building performance and maximizing invested capital.
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Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure) Nice to have: Experience in a sales support role, within Data Science, Machine Learning, or AI. Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a skilled Software Engineer to join our Data Management team in Austin, TX. This role offers an exciting opportunity to work on building tools and infrastructure for large-scale data collection, storage, and analysis to support machine learning and business operations at Apptronik.
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Experience with Deep Learning and security frameworks like MLlib, Tensor Flow, SAIF. Expertise in segmentation, regression, machine learning (feature extraction, classification, clustering) is a huge plus.
$167,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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AWS-Annapurna team develops the silicon used in our most advanced machine learning accelerator servers at cutting edge process nodes. Experience building data analytics systems with AWS tools like S3, Sagemaker and Quicksight.
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Silicon Yield and Test Data Analysis Engineer, Annapurna Silicon Operations AWS-Annapurna team develops the silicon used in our most advanced machine learning accelerator servers at cutting-edge process nodes.
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Knowledge of AWS Machine Learning Offerings, knowledge bases and Bedrock will be a plus. Experience of implementing Airflow in AWS (MWAA) will be a plus. Specific working experience with primary AWS Services including Lambda, Glue, EventBridge, SQS, AWSCLI, S3, Redshift.
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About the team As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. In this role you will be responsible for system design, validation and integration of hardware in the AWS fleet through its entire life cycle.
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From amazon.com to world class machine learning pipelines, from cutting-edge digital healthcare to no-checkout retail, we push the boundaries of technology in every direction using the globe’s largest AWS deployment.
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We are seeking an experienced Machine Learning Engineer to join our Computer Vision team. High degree of comfort with training and inference on cloud instances cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes.
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We're seeking a Senior Data Engineer to join our dynamic team and build scalable, high-performance data frameworks for Unity's next-gen data platform, supporting advanced analytics, reporting, and machine learning.
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We are seeking a highly motivated, self-starter Machine Learning Engineer to join our AI/ML Engineering team to help achieve this mission. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes.
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Exposure to AWS cloud services and running Apache Spark applications. In this role, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines and supporting data scientists in their projects.
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Central to Data Production is the HIPE application ( Human-in-the-Loop Processing Engine ), which uses sophisticated machine learning and carefully-designed UI/UX to help experts quickly and accurately extract data from medical records as we receive them.
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As a Senior Principal Machine Learning Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms and system architecture.
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machine aws jobs Title: engineer in Austin, TX
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