Senior Lead AI/ML Engineer - R01573662
Brillio (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Evaluate conversational-agent outputs and run functional and AI-quality tests covering grounding, unsupported responses, contradictions, and scenarios.
- Develop and optimize dialogue-management, NLU, semantic-analysis, reinforcement-learning, and text-classification capabilities; improve agent performance through validation and troubleshooting.
- Define production deployment paths with engineering and product teams, integrate agentic AI solutions, and implement conversational-AI governance.
Minimum Requirements
- Work Experience Required: 5–8 years in data science, including at least 2 years specifically in conversational AI technologies and agentic AI development.
- Required conversational-AI skills include hands-on RASA, NLU, Google Dialogflow, working knowledge of Kore.ai, and familiarity with IBM Watson.
- Required technical skills include Python or relevant libraries for syntax and semantic analysis, reinforcement-learning algorithms, advanced text classification, and dialogue design.
- Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has practical experience building and refining conversational agents across the named platforms, with depth in dialogue design, NLU, and text classification.
- Can combine model development with rigorous scenario-based evaluation, quality testing, and conversational-AI governance.
- Has experience moving agentic AI solutions toward production in collaboration with engineering and product teams; ASR, NLG, Spark NLP, RNNs, or conversational-AI testing experience is an additional advantage.