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Specialized senior ML/voice role at a known employer limits generalist applicant pool.
Highly specialized speech, GenAI, Azure, and healthcare context reduces cross-industry transferability.
Explicit 14+ years and mandatory ML, Java/Python, and Azure experience create strict filters.
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Lead the technical architecture and design of AI-powered voice and speech applications, focusing on real-time speech recognition and conversational AI.
Build and scale backend services primarily using Java and Python, integrating Azure AI services such as Azure Voice Live API, Speech Services, and Azure OpenAI.
Drive technical decisions on model selection, AI performance, latency, scalability, and cost while mentoring engineering teams and promoting best practices.
Bachelor's or Master's degree in Computer Science or related field.
14+ years of software engineering experience with strong backend development in Java and working knowledge of Python for AI/ML.
Experience building cloud-based applications on Microsoft Azure or similar cloud platforms, with knowledge of AI/ML services like speech recognition or conversational AI.
Not explicitly mentioned in the JD: Notice period or specific location requirement; Work Experience Required: 14+ years.
Proven experience in hands-on technical leadership in AI/ML-driven voice or speech platforms integrating real-time speech processing.
Comfortable evaluating and integrating various AI models, focusing on production-readiness, scalability, and operational reliability rather than AI research.
Experience working in environments requiring scalable backend microservices architecture, cloud-based AI solutions (especially Azure), and mentoring senior engineering teams.