الوصف الوظيفي
Expertflow,
a leading product-based company specializing in multi-channel multi-tenant
contact center software, is seeking dynamic and skilled AI Engineers to join
our international team. As an AI Engineer focusing on Conversation Design and Customer Self-Service,
you will play a crucial role in shaping and enhancing our self-service offering
across various channels, including chat, voice, and email. The ideal candidate
is expected to have good knowledge of AI preferably in Speech Recognition,
Chatbots, Natural Language Understanding (NLU), Voice and Face Biometrics, and
Language Models. Additionally, you should possess the technical depth to
independently implement conversation flows.
Responsibilities:* Design and implement conversation flows for chatbots, voicebots, and IVRs.
* Develop convincing demos showcasing our AI (NLU, ASR) capabilities for
different industries (e.g. finance, telecommunication, etc.).
* Stay informed about and evaluate open-source AI technologies and frameworks.
RequirementsQualifications:
* Proven experience in AI.
* Strong Python programming skills (knowledge of TensorFlow, PyTorch,
scikit-learn, nltk, spacy etc.).
* Understanding of NLP concepts and techniques (NLU, intent recognition,
dialogue management).
* Understand configurations for open-source models.
BenefitsBonus
Points:
* Proficiency in Arabic and/or French (a strong advantage).
* Hands-on projects in NLU, ASR, TTS, or LLMs.
* Experience with speech recognition technologies (Nuance, Deepgram, etc.) and
speech grammars.
* Knowledge of open-source NLU/Speech frameworks (Huggingface).
* Familiarity with conversational AI platforms like Dialogflow, Rasa, Lex, or
Cognigy.
* Additional programming languages like Java, C++, etc.
* Contact center or VoIP technology expertise (Cisco, Avaya, etc.).
* Experience in designing conversational experiences for chatbots or voice
assistants.
Benefits:
* Work on cutting-edge AI projects with real-world impact.
* Be part of a dynamic and collaborative team of AI experts.
* Contribute to shaping the future of customer self-service technologies
