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Minimum 10 years in AEM Hands-on experience programming in Web Technologies like JSP, JavaScript, XML, XPATH, AJAX, JQuery, Adobe APIs, Apache Sling, OSGi bundles, Apache Web Server. Experience with various code management, code quality and continuous integration tools: like JIRA, Confluence, Maven, Jenkins, SonarQube etc.
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5+ years of experience configuring, administering, managing, and maintaining D365 AX ERP system and hands-on expeirnece support D365 Finance & Operations modules, including finance accounting, fixed assets, accounts payable & finance reporting modules.
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Hands-on experience in AI ML, Natural Language Processing (NLP), optimizing and fine-tuning models to improve results, capability to analyze datasets, develop, deploy and maintain automated data pipeline.
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Design and architect AEM solutions based on business requirements, ensuring alignment with industry best practices and our client's IT standards. Experience in Adobe Target, Adobe Campaign, Adobe Analytics and AEP is a huge plus.
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Hands on experience in software development using Design Patterns, Java, typescript, Java EE, Spring Boot, Angular 8+, JMS, REST API, PL/SQL. Solid focus on software testing with Junit, Mockito, Jasmine, Karma.
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Proficiency with text data pre-processing, parsing data from different sources like Web pages, Confluence, Jira, API etc. DataOps is a centralized customer support team within Technology Reference Data Group, that is focused on solving important and complex problems related to Infrastructure Data.
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6+ years of hands-on full-stack development experience using modern development tools and practices such as Ruby on Rails, RVM, ReactJS, HTML5, CSS, JavaScript, jQuery, Bootstrap, Polymer, Unit testing using Rspec library, XML/JSON-based web services on Linux, Ubuntu operating systems, Apache/Tomcat web servers.
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Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions. Expert-level professional hands-on experience with RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.
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Hands-on experience with Workday Report Writer or similar technology including the ability to merge data from disparate sources to create holistic data charts, graphs, dashboards, etc. Hands on experience with cleaning and organizing datasets to prepare for analysis.
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Hands-on experience in Cloud Dev Ops using IAC tools such as Terraform. Hands-on experience in building distributed / service oriented / microservice-style and cloud-based architectures.
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Knowledge and passion towards experimenting with various Gen AI Large language models (LLM), LangChain, Llamaindex, RAG, Prompt Engineering, Transformer architecture. Job Title: NLP AI/ML Engineer. Familiarity with cloud platforms like AWS and Azure in leveraging large scale model training.
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The role is a hands-on leadership position, working closely with the Co-Founder to create an exceptional product. Experience working in an Agile development environment and using tools such as JIRA and Confluence.
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3+ years of hands-on experience in quality assurance, UX testing, and execution of multichannel campaigns. Coordinate with marketing stakeholder teams and manage A/B testing workflows in Jira to ensure launch-readiness of A/B tests, QA, and post-launch support.
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Hands on experience in developing and maintaining automation test suites using common industry platforms like Selenium, Cypress, Cucumber, Playwright. Experience with GitHub, Jenkins, JIRA, Confluence, Git and Artifactory.
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Programming, coding hands on development - Python. Expert-level experience with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets.
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