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Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and most importantly, USERS.
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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning.
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We are hiring a Sr. Software Engineer to join the Workflow Engineering Team to develop applications and services that orchestrate and automate business process logic workflows for enterprise applications under the Cloud and Data Transformation Engineering Organization.
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. As a Director, Software Engineering you will be responsible for leading a group of engineering managers and their respective engineering squads within the Identity Engineering organization.
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Continually expand your knowledge of the latest advancements in machine learning technologies, cloud services, and software engineering best practices with an eye towards identifying and integrating exceptional new components into the AI lab's production repertoire.
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Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
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We’re looking for a senior software engineer with knowledge of control theory and signal processing to help us improve the accuracy of the RF and laser pulses used to create our quantum gates.
$153,003 - $200,321 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Conduct advanced quantitative research, using machine learning (ML) and natural language processing (NLP) techniques to understand patterns in large volumes of data, identify relationships, detect data anomalies and classify data.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel. Industry experience with Microsoft Server products, network connectivity, UNIX or other operating systems, and database migration to the cloud or SQL Server version upgrades.
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Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.
$134,000 - $222,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled and motivated Senior Software Engineer - Full Stack to join our Home Loans team. Senior Fullstack Software Engineer, Home Loans. Experience with React / Typescript / GraphQL, Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform, and CI/CD.
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Develop and implement scalable and reproducible machine learning pipelines for 3D shape quantification on data from microscopy image-based assays. This Scientist position will develop machine learning workflows for generative shape modeling from single cell image data.
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machine learning software engineer big data google cloud jobs Company: Vibrent Health Inc in Seattle, WA
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For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
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The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.