Short description WeHunt is working with an important client that requires a Senior Machine Learning Engineer (AI). You will be responsible for conducting in-depth analysis of Clients' requirements for conversational AI interactions. Role description Develop Conversational Flows that support the clients Use Cases using the lo-code capabilities of the CAI platform Enhance the conversational flow through code or other techniques as supported by the CAI application. Support the Tech BA and conversational designers where appropriate Develop automated reusable tests as part of the development lifecycle to demonstrate success and for regression testing. Utilize data analysis tools and techniques to review and analyse conversational AI interactions across various channels (chat, voice, messaging platforms). Identify NLU Routes / Intents for use in conversations where required using the toolsets provided in the Conversational AI platform. Collaborate with cross-functional teams to identify opportunities for improving the conversational AI user experience and driving business impact. Collaborate with the customer success team and assist in addressing customer feedback, inquiries, and issues related to conversational AI interactions. Requirements (F/M/D) Bachelor's degree in Computer Science, Data Science, Information Technology, or related subject is required. Experience in data analysis, AI analytics, or related roles, preferably within the context of conversational AI or natural language processing. Proficiency in data analysis tools and languages such as Python, R, SQL, or related platforms for analysing and visualizing large datasets. Knowledge of machine learning concepts, NLP techniques, and AI model valuation metrics is desirable. Knowledge of Large Language Models, retrieval-augmented generation and generative AI concepts is desirable. Familiarity with conversational AI platforms, chatbot frameworks, voice recognition technologies, and customer interaction analytics tools. High level of english Benefits Competitive compensation bonus Hybrid (max 3 days per week in the office) Opportunities for internal development and access to training Comprehensive benefits package Next Steps If you are interested in this offer, click on "apply now" to send an updated copy of your CV, or call us now. If this offer does not fit your profile but you are looking for a new position, please contact us and we will discuss it. We guarantee confidentiality.