Contact centre data and AI Architect RED Global

5.0 - 9.0 years

0 Lacs

chennai, tamil nadu

On-site

As a Contact Centre Data and AI Architect, you will be responsible for leveraging your deep knowledge of Genesys (including InfoMart, UCS, GAAP, SpeechMiner, WFM, and Routing) and Five9 data ecosystem. Your expertise will be crucial in supporting the migration of contact centers to CCaaS and developing data solutions around this migration. Your role will involve defining a data strategy to migrate historical and real-time data to the cloud while ensuring minimal disruption to downstream systems. You will need to understand data models for Genesys (InfoMart, SpeechMiner) and create mappings to cloud equivalents. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Furthermore, you will evaluate and recommend data architectures that minimize the impact on downstream systems during the migration to CCaaS. Your expertise will be pivotal in identifying opportunities to enhance customer experience through AI technologies such as intent detection, virtual assistants, predictive routing, and sentiment analysis. Collaboration with internal AI/ML teams is crucial to define data-driven automation use cases and implementation strategies. Working closely with IT, customer service operations, business teams, and external CCaaS vendors will be part of your daily responsibilities. Additionally, you will participate in vendor evaluations and selection processes for CCaaS and AI solutions. Your role will also involve engaging in interviews with various business stakeholders to understand their contact center needs and assess the impact on downstream applications. This position requires a high level of expertise in contact center data and AI technologies, strong collaboration skills, and the ability to drive successful migration strategies.,

Posted 2 days ago

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Cognitive Developer Techstar Software Development India

6.0 - 11.0 years

16 - 25 Lacs

Hyderabad, Pune, Bengaluru

Hybrid

JOb Discription : Design, development and tuning of customer facing AI applications. Identify training data for voice and text-based applications. Train and test custom speech language and acoustic models Control speech synthesis of text through Speech Synthesis Markup Language (SSML) customizations. Create custom word pronunciations through the use of phonetic symbols Collaborate with technical product team, product owners and stakeholders to deliver a product that meets business, cyber, compliance and privacy requirements Perform other duties as assigned Conform with all company policies and procedures Advanced knowledge of information technology systems Knowledge of security methodologies, policies, standards and best practices Advanced knowledge of conversational AI systems and Natural Language Understanding (NLU) Advanced knowledge of testing methodology of cognitive solutions Knowledge of building AI systems for SaaS applications Knowledge of pre-trained language models Knowledge of best practices in information technology governance and regulatory landscape for financial institutions Significant experience in large and complex business environment Advanced experience developing and deploying voice and text conversational flows for virtual agents or virtual assistants Experience with developing dialog interpreters Experience with conversational patterns, such as disambiguation, digressions, slot filling and question answering Advanced level experience with Java, JSON, NLP, Python, R Experience with Cognitive Intelligence technologies and frameworks/systems such as Node JS, Javascript Ability to work in cross-functional teams with product management, user experience and engineering teams Ability to train, educate and mentor team members in area of AI Systems and NLU Ability to challenge the status quo, be curious and dare to innovate Ability to exercise independent judgement and make sound, fact-based decisions

Posted 1 week ago

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