Description
Job description
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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