C++iNFX is a set of micro-services that (mainly) will run on our embedded Linux devices – our payment terminals and edge devices. The purpose is to provide key software building blocks for the things our customers need to do on their retail sites – like processing payments, integrating with devices on the forecourt (petrol dispensers, EV chargers, Tank gauges, price signs), running the workflow on payment terminals and providing for mobile payments & customer engagement.
The team we are looking for would be working on the C++ based microservices. Experience with payments processing would be very beneficial.
While we ideally want C++ developers, it is important to note this is Application development rather than traditional “embedded” development. We want people who understand APIs, protocols, and ideally payments. Ideally having worked with Linux, although Kernel driver development experience is not so important. Neither is bare-metal / low-level firmware experience. The software is also intended to be portable to Windows environments - so experience in cross platform development is important.
No need to target Assembler skills for the Application Engineer, good C++ & Linux Application development skillsets are important but experience in the payment domain is an truly an advantage some of payment domain experience/expertise would be - understanding of ISO8583 type messaging, payment transaction types, payment software development exposure, EMV understanding, Payments security and certification etc
Shubham Vishwakarma
Full Stack Developer - Averlon
About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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LOOKING FOR CANDIDATES FROM PUNE LOCATION ONLY.
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(Confluence)
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Deep Learning------------------------
Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are -
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* Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data.
A typical day at work
-----------------------------
You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production!
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---------------------------------
* Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms.
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--------------------------
* You’ll learn insanely fast here.
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* Independent work, flexible timings and sense of ownership of your work.
* Mentorship from distinguished researchers and professors.
Android Development
KotlinJava
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Full Stack Developer - Averlon