AI Solutions Strategist

3 days ago

Hyderabad Secunderabad Telangana, India beBeeProductManager Full time ₹ 15,00,000 - ₹ 20,00,000

We are seeking a visionary leader to spearhead the development of cutting-edge conversational systems powered by AI.

Key Responsibilities:

  • Define and execute a strategic roadmap for conversational AI platforms, ensuring alignment with business objectives and customer needs.
  • Lead end-to-end product lifecycle management, including concept development, production deployment, and iterative improvement.
  • Establish clear, measurable KPIs to evaluate the performance and success of conversational AI systems.
  • Conduct thorough market research to identify emerging trends, technologies, and best practices in conversational AI, NLP, and generative AI.
  • Document detailed technical requirements, including architecture, data pipelines, and API designs for conversational models.
  • Collaborate with UX/UI teams to create intuitive, engaging, and accessible conversational interfaces.
  • Translate customer pain points and business challenges into technically feasible, impactful product solutions.
  • Leverage expertise in NLP models (e.g., Transformer-based architectures, GPT, BERT) to guide their application for targeted use cases.
  • Drive the development and optimization of core AI components, including natural language understanding (NLU) models, dialog management systems, and generative AI models.
  • Define metrics and frameworks to evaluate model accuracy and conversational success rates, partnering with analytics teams for real-time performance insights.
  • Architect scalable solutions to manage high-volume conversational interactions across diverse channels.

Required Skills and Qualifications:

  • Extensive Experience working with large language models (LLMs) and fine-tuning them for specific domain requirements.
  • Expertise in conversational design principles and tools and techniques.
  • Proficient in building and deploying conversational AI solutions.
  • Solid understanding of machine learning concepts, NLP techniques, and model evaluation methods.
  • Experience designing scalable architectures for conversational systems, including cloud-based deployments.
  • Strong experience working with RESTful APIs, webhooks, and third-party integrations.
  • Proficiency in Python or another relevant programming language for prototyping and understanding engineering implementations.
  • Proven ability to bridge technical details and business priorities to develop impactful product strategies.
  • Strong understanding of customer service workflows and systems.
  • Familiarity with ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) systems for voice interfaces.

Benefits:

  • Analytical mindset with a data-driven approach to problem-solving.
  • Ability to communicate complex technical ideas to non-technical stakeholders.
  • Experience managing cross-functional teams in an agile environment.

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