![]() ![]() Candidate will be trained on web development processes and technologies (non-programming). This role will involve coordinating with clients and developers for web based project development. Creative problem-solving abilities and strong work ethic with “can do” attitude.Business Logic (Server Side Programming) using PHP (MVC Frameworks such as CodeIgniter, Zend, Laravel), MySQL.Front-end Development (UI, User Interaction - JavaScript), JQuery, AJAX, AngularJS.Researches, tests, builds and coordinates the integration of new products per production and client requirements. Deploys large web-based transaction systems using application servers. Integrates web applications with backend databases.You will also be responsible for integrating the front-end elements built by your co-workers into the application. The candidate also must be capable of multi-tasking plus managing and working on several projects simultaneously. The candidate will work in a team environment but must be able to work both independently and as a team member. The position includes the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. Ability to thrive in a team/collaborative environment.Ability to take high-level requirements and compile them into development tasks.Creative problem-solving abilities and strong work ethic with “can do” attitude.Concrete understanding of computer science concepts such as Databases, SQL, Programming Logic and basic constructs.A Bachelor's degree in Computer Science or related field.Minimum Qualifications and Desired Skill: Must have the willingness to learn new technologies and have exceptional self-learning capability.Server deployment on Linux, Leveraging cloud infrastructures such as AWS and Azure.Business Logic (Server Side Programming) using PHP (MVC Frameworks such as CodeIgniter, Laravel, Symfony), MySQL.Front end Development (UI, User Interaction - JavaScript), JQuery, AJAX, AngularJS.Ensure comprehensive, timely and quality delivery of all development projects.Researches, tests, builds and coordinates the integration of new products per production and client requirements. Deploy large web-based transaction systems using application servers. Integrate web applications with backend databases.Responsible for interface implementation. Work closely with a highly synergized team of Project Managers, graphic designers and other members of a project team to develop the site concept, interface design, and architecture of the website.Training will be fully given on the below-mentioned technologies. Only candidates looking to break into the IT industry and work on challenging programming projects must apply. ![]() Theoretical and empirical results show that the proposed models not only preserve a useful inductive bias of transitivity but also have sufficient representational capacity to model arbitrary graphs, including graphs with cycles.The position includes the development of dynamic, fast-paced projects that span all phases of the software development lifecycle, including design, development, test, and customer support. We explore several variants, including global binary codes (amounting to a union over intersections) and per-vertex binary codes (allowing greater flexibility) as well as methods of regularization. To this end, we propose binary code box embeddings, where a learned binary code selects a subset of graphs for intersection. Box embeddings, which can be thought of as representing the graph as an intersection over some learned super-graphs, have a natural inductive bias toward modeling transitivity, but (as we prove) cannot model cycles. However, modeling directed graphs that both contain cycles and some element of transitivity, two properties common in real-world settings, is challenging. hyperbolic, cone, and box embeddings) excel at this task, exhibiting useful inductive biases for directed graphs. Abstract: Modeling directed graphs with differentiable representations is a fundamental requirement for performing machine learning on graph-structured data. ![]()
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