Job description

Overview Senior AI/ML Solutions Architect with Expertise in Voice AI and Azure. A seasoned technical architect with over a decade of experience in enterprise environments and more than five years specializing in designing scalable AI/ML workflows on Microsoft Azure. This includes deep expertise with Azure AI, Cognitive Services, Machine Learning, OpenAI, and Cognitive Search. Possesses over two years of hands-on experience integrating AI assistants into enterprise applications. Core Technical Proficiencies AI & Machine Learning: Extensive practical experience in Generative AI, speech recognition, Text-to-Speech (TTS), and NLP/NLU using technologies like Azure Speech Services, DialogFlow, and custom LLM solutions. Voice AI Architecture: Deep knowledge of voice AI architectures, including speech-to-text (STT), text-to-speech (TTS), conversational design, and integration with Azure Communication Services or Cognitive Speech APIs. Cloud & Infrastructure: Deep expertise in Azure cloud services, containerized environments, and multi-cloud/hybrid setups. Proficient in infrastructure-as-code tools such as Terraform and Bicep. Development & MLOps: Highly skilled in Python and Microsoft Copilot Studio. Strong grasp of MLOps/LLMOps practices, including CI/CD for ML, model registry, monitoring, and retraining pipelines. Deployment & Orchestration: Experienced in deploying AI models using Kubernetes (AKS), Docker, and microservices architecture. Understanding of performance tuning, scalability, and cost optimization for AI workloads. Education & Soft Skills Holds a Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Possesses strong documentation and presentation skills Skills: speech, text-to-speech conversion, machine learning, azure, ml, architecture Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr

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