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Having minimum 8+ years experience with detail idea of application design and hands on with extreme coding on Spring boot, Spring MVC, Spring Core, JPA, Microservices, Java 8, Java11, Java20, JUNIT, Mockito, AWS Cloud, AWS Lambda, AWS EC2, Jenkins, MySQL, Oracle and also having minimum 7+ years experience with detail idea of UI design with hands on with extreme coding on ReactJS, NodeJS, Webpack, Redux, Javascript, Typescript, Karma.
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2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar. As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Design, build, deploy machine learning models and microservices on the Google Cloud Platform. Familiarity with Front-end web development technologies (React, Vue.js, Angular, etc.) Develop and implement train machine learning models using Google Vertex AI and Typescript, Express.
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We are seeking a Full-Stack Software Engineer (Google Vertex) to join our team and transform ford.com into a customer engagement platform with modern designs and best-in-class experience. js, Koa or other Back-end frameworks.
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2 + years of experience with developing REST APIs with progressive responsibilities in software development in a scaled agile environment with Typescript, Node.js. Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more.
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AWS Knowledge: Hands-on experience with various AWS services, including EKS, Amazon Aurora PostgreSQL, DynamoDB, S3, IAM, Route 53, ELB, SNS, SQS, and Managed Streaming for Apache Kafka (MSK.
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Advance use of Natural Language Processing including the extensive use of Large Language Models for text analysis. 2 + years of experience with React, Angular or other Front-end web development technologies.
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Familiarity with REST APIs and Cloud architectures (Google Cloud Platform) Understanding of Release Management, Source Code repository management, CI/CD practices and tools (GitHub, Maven, Jenkins etc.
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SKILLS : Java, J2EE, Spring Boot, RESTful Services, Angular, Microservices, REST API, Ping Identity, APIgee, Service Mesh, Istio, UNIX, AWS, OpenShift. Email DBA Web 15 Java Applications Developers (J2EE, Spring Boot, RESTful Services, Angular, Microservices, Ping, APIgee, AWS) in Mclean, VA APIGEE, AWS, Java, REST API, Restful services, Spring Boot, Unix Location: Virginia Job Function: Software Engineering - Java Date Of Job Posting: 09-11-2020.
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DevOps Engineer (Senior) with skills DevOps Engineering, GIT / GITHUB, Jenkins, AWS - EKS, Azure - AKS, Azure - ARM, AWS - CloudFormation, AWS-Apps, GCP-Apps, Azure-Apps, AWS-Infra, Azure-Infra, Azure DevOps (ADO), AWS DBA for location Poland.
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Master’s degree in Computer science with ML as a focus, Computer Engineering, Electrical Engineering or related field. Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related field or a combination of education and equivalent work experience.
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Will your career be a deep dive into what you love, or a series of new teams and new skills? Experience with lightweight product development methods such as user story mapping or rapid prototyping. Optimize and fine-tune machine learning models for performance and efficiency.
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1 + years of experience in machine learning engineering or a related field. Stay updated on the latest advancements in machine learning and AI technologies. You will work closely with cross-functional teams, including UX/UI designers, business analysts, and product managers, to create innovative digital solutions that drive engagement and increase customer satisfaction.
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Experience defining product vision, strategy, product roadmaps and creating and managing backlogs (Rally, JIRA or similar) Visa sponsorship is available for this position. 2 + years of experience working with SQL, NoSQL databases, and big data platforms.
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Key Technologies include: Java/Spring, Linux/Windows, ElasticSearch, MySQL/PostgreSQL, AWS, Kubernetes, Docker. As a Software Engineer on this team, you must be skilled and self-motivated to develop cutting-edge geospatial analysis, ETL (Extract, Transform, Load), and visualization microservices to support mission-focused systems.
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