**Company: Ailanto AG Job Description Summary: The Software Integrator position in the Global Messaging and Screening Capability Unit will involve integrating applications and messaging infrastructure components, ensuring operation stability and security of new software bundles, and coordinating with internal and external teams. Requirements include knowledge of operating systems, system architecture, web and database technologies, scripting skills, familiarity with message types and standards, experience in instant payments, software development experience, and strong analytical skills. A minimum of 5 years of experience as a software engineer is required. Job Description: You’ll be working in the Global Messaging and Screening Capability Unit of Group Technology in Zürich. As a Software Integrator you will be engaged in integrating internal and external applications, messaging infrastructure components and market gateways solutions related to the GMS portfolio into the internal infrastructure. During project phases you will work closely with your project , business analyst and other interfacing teams. Software integration and quality assurance will be done in close collaboration with dedicated development, testing and change management teams. Tasks proactively support business analysts and project managers to identify people and systems impacted by the functional and non-functional application requirements meet the highest level in operation stability and security of new software bundles delivered into production ensure timely application readiness by working closely with our internal development & infrastructure teams, change & project management teams coordinate software packaging or infrastructure requirements and issues with our external vendors. conduct application-specific (infrastructure & security) data-gathering activities for audit and risk management purposes. proactively support business analysts and project managers to identify people and systems impacted by functional and non-functional application requirements Requirements Knowledge of LINUX/UNIX operating systems, z/OS would be an advantage Solid background in system architecture, failover and network design Experience in Web and DB technologies (mainly WebSphere, Tomcat, Oracle, DB2) Good scripting skills, mainly Shell, Perl and Rexx Knowledge of SWIFT fin message types and the equivalent of the ISO20022 standard Knowledge of SIC/euroSIC, SECOM and FED/CHIPS message types Good experience in Instant Payments software development experience preferably in the financial industry (Java & J2EE) would be a benefit strong analytical, problem-solving and synthesizing skills (you know how to figure things out) 5+years of experience as software engineer
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
