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Ensure investments in Didax are supported by justifiable business cases, including build versus buy considerations, cloud migration, applicability of core technologies, and ease and flexibility of use.
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As a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency.
$146,400 - $201,300 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Through this role you will have the opportunity to serve as a Solution Architect Lead on key client projects related to the solution design, implementation, testing, and deployment of Oracle Cloud ERP (Core Financials, Procurement, Expenses, and Revenue Management, among others) applications to drive Finance Transformations.
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Strong appreciation for Telecoms technology and architecture evolution in regards to GSM Core Network, LTE , 5G, Charging/Billing, provisioning, cloud and big data etc. Support with Designing robotic process automation (RPA), machine learning (ML), artificial intelligence (AI) use cases.
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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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EInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients. Responsible for embedded software design and optimization with a concentration on connectivity and wireless SW stacks for Wi-Fi, Bluetooth, Core Android networking, etc.
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SAIC is the premier Joint All Domain Command and Control (JADC2) integrator with expertise in transforming legacy command and control systems into a modern hybrid cloud environment to accelerate decision making and increase mission success.
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Expertise in AWS Compute (EC2, EMR), AWS Storage (S3, EBS), AWS Databases (RDS, DynamoDB), AWS Data Integration (Glue), Lambda and AWS Core services. Proficiency in Cloud infrastructure provisioning tools e.g., Terraform.
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As a member of the Cloud Infrastructure Security Team, you will be responsible for implementing core secure infrastructure and security solutions and services in multiple clouds (e.g. AWS, OCI, GCP, and Azure.
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Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture. Machine Learning Engineer (MLE), Artificial Intelligence. Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone.
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Work in collaboration with our DevOps teams to architect and maintain our cloud infrastructure, working with containerization technologies such as Docker and Kubernetes; assist with cross-platform builds and test orchestration, working with build tools (e.g. CMake, Bazel, etc.
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As a Principal Engineer, you will operate across a global Site Reliability Engineering (SRE) organization, and partner with the Corporate Engineering and Core Hybrid Platforms developer organizations.
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Title: Senior Front-End Engineer (remote)Location: USAFull TimeSummaryResponsible for the core software engineering tasks in a project team. Experience with Cloud Technologies, including containers, Kubernetes, Docker, AWS.
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SOA, Exposure to Cloud (AWS/Azure), CICD, Deployment Technologies, Kubernetes, SQL/NoSQL databases (Cassandra), Agile. Core Java, DS, J2EE, Kafka, Apache Camel, RESTful Web-Services, Spring, Hibernate, GIT, Splunk, Caching.
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1) Software design patterns (2) Code versioning systems (3) MySQL/SQL programming (4) Apache Kafka (5) Apache Spark (5) GO (7) Python (8) AWS Cloud Technologies (9) Shell Scripting (10) Software Vulnerabilities (11) OWASP Top 10 Vulnerabilities.
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