Data Science Lead - R01573598
Brillio (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture and delivery of scalable enterprise conversational AI platforms, with accountability for reliability and measurable business outcomes.
- Develop and optimize dialogue models; oversee testing of ASR, dialogue management and related components for accuracy and performance.
- Establish conversational AI governance and security practices, integrate platforms and SharePoint grounding, and guide junior data scientists and engineers.
Minimum Requirements
- Work Experience Required: 8–12 years in data science and conversational AI, including substantial experience designing, deploying and optimizing enterprise dialogue systems.
- Hands-on experience with RASA and Kore.ai; proficiency with Google Dialogflow and IBM Watson.
- Required expertise across dialogue design, syntax and semantic analysis, reinforcement learning, text classification, ASR, dialogue management/NLG, Spark NLP, recurrent neural networks and conversational AI testing.
- Expertise in technical governance and compliance for AI solutions.
Ideal Candidate Profile
- Has led enterprise conversational AI architecture and delivery, connecting model quality and system reliability to measurable business outcomes.
- Can work across multiple conversational AI platforms and, as preferred experience, Azure AI, Microsoft Teams and SharePoint grounding.
- Brings senior-level technical leadership, including governance ownership and mentoring data scientists and engineers.