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The ML Engineer will design, develop, and deploy machine learning models, primarily using AWS. Responsibilities include collaborating with teams to integrate models into production, writing efficient code in Java and SQL, and staying updated on advancements in AI/ML.

The Front-end Engineer will research and troubleshoot customer issues, assist in technical inquiries, escalate unresolved issues, and document knowledge in a knowledge base. Must possess strong client-facing skills and be comfortable using help desk software.

The Senior React Developer will be responsible for developing and implementing user interface components using React.js. Responsibilities include profiling and improving front-end performance, troubleshooting software issues, and documenting code changes. The ideal candidate will have extensive knowledge of JavaScript, React, and front-end languages, along with experience in user interface design and a strong understanding of middleware integration.

The Lead NLP Engineer will develop efficient self-learning NLP Search systems, design algorithms, select datasets for machine learning, and conduct statistical analysis to refine models. Responsibilities include implementing NLP tools and extending ML libraries.

The Data Engineer will design, develop, test, deploy, and maintain data integration pipelines using AWS Cloud services, including Databricks and various data sources. Responsibilities include optimizing complex database queries and enhancing data processes while collaborating with a skilled team.

The API Developer will design, develop, and maintain scalable RESTful APIs and microservices using Spring Boot, implement reusable API components, integrate with backend data stores, and optimize performance and reliability.

As a QA Automation Engineer, you will ensure software quality through automation. Responsibilities include developing automation scripts, identifying software defects, leading process automation, and collaborating with teams on testing strategies.

As a Senior Data Engineer, you will manage NiFi flows, work with the Cloudera Data Platform, and collaborate with data architects. You'll need to analyze data, be agile in Scrum processes, and effectively communicate between business and data teams.

The Oracle Apex Developer will design, develop, and maintain web applications using Oracle APEX, collaborate with cross-functional teams, and implement security measures and best practices, while optimizing application performance and documenting the process.

The Data Analyst will design and maintain Tableau dashboards, define key metrics and KPIs, optimize platform architecture, develop data pipelines, investigate platform issues, and provide insights to inform decisions. They will also promote best practices in analytics across the organization.