RandomTrees · 1 day ago
Speech model AI Architect
United States
Contract
Remote
Senior Level, Lead/Staff
8+ years exp
Maximize your interview chancesArtificial Intelligence (AI)Information Technology
Hiring Manager
Cauvery Priyadarshini
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Responsibilities
Design and develop end-to-end solutions for voice-enabled generative AI chatbots.
Architect workflows for intent recognition, fine-tuning generative AI models, and providing context-aware, technical responses.
Implement pipelines for real-time speech-to-text (STT), natural language processing (NLP), and generative response generation.
Create refined conversational models by fine-tuning pre-trained generative AI frameworks (e.g., GPT, BERT, LLaMA).
Build systems that identify and adapt to user intents dynamically, improving chatbot response quality over time.
Develop strategies for managing edge cases, ambiguity, and domain-specific technical queries.
Implement and optimize generative AI tools (e.g., OpenAI GPT, Hugging Face Transformers) for seamless conversational experiences.
Ensure generated responses align with domain-specific guidelines, tone, and accuracy requirements.
Integrate advanced STT and TTS tools to enable seamless voice interaction (e.g., Amazon Transcribe, Google Speech-to-Text, or Azure Speech).
Enhance conversational flow with state-of-the-art NLU and conversational frameworks like Dialogflow, Amazon Lex, or Rasa.
Lead engineering and data science teams in implementing scalable chatbot architectures.
Guide best practices in developing and deploying AI models for real-time systems.
Collaborate with stakeholders to align technical solutions with business goals and customer needs.
Drive innovation by exploring emerging technologies in generative AI, NLP, and voice interfaces.
Continuously monitor and improve system performance, accuracy, and response times.
Design scalable and cost-effective architectures that ensure system reliability.
Establish frameworks for responsible AI use, ensuring adherence to privacy and compliance standards.
Implement logging, monitoring, and analytics for chatbot interactions to support transparency and improvement.
Qualification
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Required
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
8+ years of experience in AI/ML systems, with 3+ years specifically in conversational AI and generative AI.
Proficiency in generative AI frameworks like OpenAI GPT, Hugging Face, LangChain, or similar.
Deep understanding of intent recognition, entity extraction, and fine-tuning AI models for domain-specific use.
Hands-on experience with conversational AI tools (e.g., Dialogflow, Amazon Lex, Microsoft Bot Framework).
Expertise in integrating STT and TTS technologies with conversational workflows.
Strong hands-on experience with cloud platforms (AWS, Azure, or GCP), including AI services like SageMaker or AI Hub.
Proficiency in building CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation).
Strong coding skills in Python, JavaScript, or similar languages.
Experience with API development, microservices, and real-time data processing frameworks.
Excellent communication and leadership skills.
Proven ability to present complex technical solutions to both technical and non-technical audiences.
Preferred
Proven experience building AI-powered chatbots for technical domains or customer support.
Familiarity with MLOps pipelines and AI lifecycle management.
AWS Certified Solutions Architect or equivalent certifications.
Experience in designing systems for multilingual or globally distributed user bases.
Company
RandomTrees
RandomTrees provide enterprise artificial intelligence solutions.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase
