Responsibilities Collaborate with technical and business experts to develop new use cases and enhance existing functionalities; You will be responsible for designing and building highly scalable AI and ML solutions using Python and the Rasa Framework; Design and implement NLU and NLP models; Additionally, you will help with integrations with data providers (internal systems and third-party applications); Resolve complex technical design issues by analyzing logs, debugging code, and identifying technical issues, challenges, and bugs in the process. Deploy applications using CI/CD tools; Optimize KATE system for maximum speed and scalability; Perform deeplinks integration and encryption. Requirements Minimum 3 years of experience in software development; At least 3 years of professional experience with Python (Python preferred); Experience with Python Frameworks and Libraries; Relational and NoSQL databases (PostgreSQL and DynamoDB); Strong foundation in the Python programming language; Experience with RESTful API services; Good understanding of HTTPS and Enterprise security; At least a bachelor's degree in computer science or related field; You are eager to learn and have an open mind towards new tools, technologies, processes, and organizations; You are a team player who likes to help colleagues further and gets his energy from working together and acting in a solution-oriented way; You are a quick learner who can easily apply problem-solving, critical thinking, and analytical skills; Excellent English skills both spoken and written. Nice to Have Hands-on experience building and deploying chatbots; Experience with Machine Learning and AI; It's a big plus if you have knowledge of the following tools and technologies (Rasa framework, Docker, CI/CD pipelines, Terraform, AWS Cloud Services, GitHub, Linux); Strong understanding of other AI tools is a BIG plus.
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