2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect and lead conversational AI solutions integrating Microsoft Teams, Azure AI, and SharePoint.
- Develop and optimize dialogue systems using NLU, NLG, ASR, reinforcement learning, and recurrent neural networks.
- Establish technical governance, security protocols, and compliance standards for conversational AI deployments.
- Develop SharePoint grounding approaches for conversational workflows and data retrieval.
- Configure, deploy, and manage RASA, Kore.ai, Google Dialogflow, and IBM Watson platforms.
- Conduct testing, evaluation, and optimization of conversational AI models using Spark NLP and related frameworks.
- Collaborate with cross-functional teams to deliver scalable, secure, and high-performing AI solutions.
Requirements
- 5 to 8 years of experience in AI/ML engineering, including substantial hands-on conversational AI solution architecture experience.
- Expertise in dialogue design, syntax and semantic analysis, text classification, and natural language understanding.
- Hands-on experience with reinforcement learning, recurrent neural networks, NLG, and ASR technologies.
- Proficiency with RASA, Kore.ai, Google Dialogflow, IBM Watson, and Spark NLP.
- Experience integrating Azure AI services with Microsoft Teams and applying SharePoint data grounding approaches.
- Knowledge of conversational AI testing tools such as Botium or TestMyBot and enterprise conversational governance frameworks.
- Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, or a closely related discipline.
- Microsoft Certified: Azure AI Engineer Associate or equivalent AI/ML certification is desired.
- Certification in conversational AI platforms such as RASA or IBM Watson is desired.
Categories
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.