
HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
November 24

HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
• Develop and implement voice bot flows based on provided designs, selecting the appropriate TTS/STT or speech service platforms. • Build core voice bot functionalities, ensuring high performance, accuracy, and stability. • Integrate voice bots with in-house and third-party systems using APIs. • Develop call flows capable of interacting with various platforms through SIP protocols. • Collaborate with cross-functional teams to optimize overall voice experience and system performance.
• Proven experience designing, testing, and developing AI-driven NLU and conversational AI projects for voice-based systems. • Strong ability to integrate TTS (Text-to-Speech) and STT (Speech-to-Text) engines. • Hands-on experience with NLU (Natural Language Understanding) and ASR (Automatic Speech Recognition) technologies. • Ability to design and develop call flows that interact with platforms using SIP. • Solid understanding of network elements such as TCP, SIP, and cloud-based hosting environments. • Proficiency in Python for backend and conversational logic development. • Experience working with APIs and database systems. • Nice to have: foundational knowledge of Machine Learning and its applications in conversational AI.
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