We are looking for colleagues interested in R&D and AI in the context of an opportunity in the field of Natural Language Processing (NLP).
The focus area will be to develop a framework that will enhance the current way of how business processes are automated and improve how automation testing is done in payments industry by using AI.
Main responsibilities :
Take architecture decisions and define design principles;
Continually analyze the architecture and current technology environment and recommend solutions for improvement;
Analyze technology and industry trends and keep current with the latest trends;
Some of the technologies that you will use in order to build intelligent agents that automate a process - NLP, chat bots, image recognition;
Stay up to date with the latest relevant developments in the field, prototype with and learn new technologies;
Facilitate technical discussions, problem-solving stand-up sessions, and technical literature reviews;
Collaborate with members of imaging team on possible multi-modal NLP solutions;
Conceptualize, architect, build and implement deep learning NLP solutions for deployment on edge devices;
Proficient communication in written and spoken English.
Qualifications and Experience
A minimum of 5 years of experience in designing software architecture, or demonstrated performance is required;
Experience with Python as the main language is a plus;
Knowledge of programming languages such as .Net, Frontend, Java, C++ , full-stack skills regardless of technology or more programming languages;
Experience with AI type of frameworks is an advantage;
Ability to simplify & standardize complex concepts / processes.
Private health insurance, monthly sports allowance & meal tickets;
Loyalty annual leave days & replacement days for weekend bank holidays;
Various options for purchasing Endava shares at a preferential price;
Work from home and flexible working hours;
Multiple offers and employee discounts;
Ongoing learning opportunities complex projects, trainings, coaching, conferences, workshops, certifications, online learning platforms subscriptions etc.;
Diverse company social life - events, sports tournaments, team buildings, passion groups (e.g. hiking, book club, green team);
Multicultural environment - working with colleagues and clients across different countries.