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Job Description: Staff Engineer – AI / ML (Speech & Generative AI)Role SummaryWe are seeking a hands-on Staff Engineer – AI/ML to design, build, and scale AI-driven speech, voice, and Generative AI solutions. This role focuses on developing production-grade AI systems for real-time speech processing, NLP, and LLM-powered applications in a cloud-native environment.The ideal candidate has strong Python expertise, deep experience with Speech AI and GenAI, and a proven track record of deploying AI/ML systems on Microsoft Azure.Key ResponsibilitiesAI / ML EngineeringDesign, develop, and deploy AI/ML-powered applications with a focus on:Speech-to-text (ASR)Text-to-speech (TTS)Natural Language Processing (NLP)Large Language Models (LLMs) and Generative AIIntegrate and operationalize speech, language, and GenAI models into scalable backend services.Build AI-driven features including:Real-time voice transcription and speech processingIntent detection and entity extractionConversational AI and virtual assistantsSummarization, semantic search, and RAG-based workflowsFine-tune and adapt models for domain-specific language, accents, noisy environments, and real-world usage scenarios.Cloud & PlatformBuild and maintain cloud-native AI pipelines on Microsoft Azure.Deploy, scale, monitor, and optimize AI workloads for performance and cost.Implement ML lifecycle management, including model versioning, evaluation, and monitoring.Ensure reliability, observability, security, and compliance of AI systems.Architecture & CollaborationMake independent architecture and design trade-off decisions across multiple services.Collaborate with backend engineers, product managers, UX designers, and platform teams to deliver end-to-end AI features.Participate in design reviews, architecture discussions, and technical documentation.Engage in customer or stakeholder discussions to align AI solutions with real-world requirements.Leadership & InnovationMentor junior engineers and contribute to raising overall AI/ML engineering maturity.Drive engineering best practices around testing, scalability, and reliability.Contribute to innovation through internal IP creation, invention disclosures, or patents.Required QualificationsBachelor’s degree in Computer Science, Software Engineering, or a related field.5+ years of experience in software engineering with significant hands-on AI/ML work.Strong proficiency in Python for building production-grade AI services.Solid understanding of:Machine learning fundamentalsNLP techniquesModern AI model architectures, including LLMsProven experience deploying and operating AI workloads on Microsoft Azure.Strong engineering fundamentals in:System designAPIsData pipelinesScalability and reliabilityPreferred / Desired QualificationsAI / ML & Generative AIHands-on experience with:LLMs, prompt engineering, and model evaluationRetrieval-Augmented Generation (RAG) architecturesExperience integrating or fine-tuning speech models (ASR/TTS) for real-world applications.Familiarity with tools and frameworks such as:Azure OpenAIAzure MLLangChainMLflowPyTorch or TensorFlowExposure to conversational AI, semantic search, sentiment analysis, or intent recognition.Cloud & EngineeringStrong experience with Azure services, including:Azure OpenAIAzure MLAzure Functions / Container AppsAzure AI SearchExperience with Docker, Kubernetes, CI/CD pipelines, and ML lifecycle management.Exposure to AWS or GCP is a plus.Background in Java-based backend systems is a plus.Experience integrating third-party APIs and AI services.Comfortable working in an Agile development environment.Preferred Skill SummaryGenerative AI / ML, Speech AI (ASR/TTS), Python, Microsoft Azure