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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 6 years of experience in software engineering (Internship experience does not apply.
$201,400 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Software Engineering Manager, Natural Language Processing, Google Cloud AI. Google Cloud accelerates every organization's ability to digitally transform its business and industry.
$284,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Public cloud providers (e.g., AWS, Microsoft Azure, Google Cloud), and observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana) Disney Entertainment and ESPN Technology is looking for a Senior Software Engineer to join the Playback Services team within the Media Engineering organization.
$199,870 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Leadership & Design Skills: team leadership, Agile/SAFe, tech mentor, cloud and software engineering. Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services.
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Hands-on experience with Google Cloud Platform (GCP) and its tools, such as Big Query, Cloud Storage, Dataflow, and Pub/Sub. 8+ years of experience in software and data engineering, with a focus on retail planning systems.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
$330,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of source control systems, messaging and caching technologies, CI/CD pipelines, public cloud providers and observability tools for metrics, logging, and monitoring (Git, Jenkins, Docker, Kafka, Kinesis, SQS, DynamoDB, RDBMS, Redis, AWS, Microsoft Azure, Google Cloud, Datadog, Splunk, Grafana.
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Jenkins · Knowledge of cloud technologies – AWS, Google · Understanding of relational databases. Job Description:· 5+ years of overall experience in software engineering · 2+ years of experience in Java, J2EE programming, Spring Framework and design techniques and web applications/REST APIs · Hands on with version control practices, Continuous Integration tools.
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Our tech stack is Java, React, GraphQL, CockroachDB, Kafka, Google cloud, and more. 7+ years of industry software engineering experience developing and shipping products, both for real-time and non-real time use cases.
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As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
$284,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure). 10+ years’ experience in software engineering & technology, with 5+ years in technology leadership role establishing and leading a developer-focused team or function.
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3+ years of experience with AWS, Google Cloud Platform, Microsoft Azure, or another cloud service. At least 8 years of experience in software engineering (Internship experience does not apply.
InternExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Strong expertise in developing, deploying, and maintaining scalable machine learning pipelines and infrastructure in production environments, ideally using Google Cloud Platform (GCP) services.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago
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