Ai Solutions Consultant

hace 3 meses

Valencia, España Bell Integration A tiempo completo

Overview:
**Responsibilities**:
**Conversational AI Solutioning**:

- Utilize data analysis tools and techniques to review and analyse conversational
- AI interactions across various channels (chat, voice, messaging platforms).
- Identify NLU Routes / Intents for use in conversations
- Model conversational flows through BPMN or other techniques
- Model Entity usage and prediction of the tools understanding of the conversation
- Support the integration of the platform into downstream systems that will provide the answers to requests or update request based on capture information
- Model Chat & Voice conversations
- Use Generative AI to enhance customer feedback and provide insights into their data

**Generate Actionable Insights**:

- Collaborate with cross-functional teams to identify opportunities for improving the conversational AI user experience and driving business impact.
- Develop and present reports, dashboards, and visualizations to communicate insights to stakeholders.
- Continuous Improvement
- Stay informed about the latest advancements in conversational AI technologies and industry best practices.

**Stakeholder Collaboration**:

- Collaborate with the customer success team and assist in addressing customer feedback, inquiries, and issues related to conversational AI interactions.
- Engage with internal stakeholders to gather requirements, understand business objectives, and align AI strategies with organizational goals.

Qualifications:

- Bachelor’s degree in Computer Science, Data Science, Information Technology or related area (Mathematics or Physics) is a plus.
- 5+ years of experience in data analysis, AI analytics, or related roles, preferably within the context of conversational AI or natural language processing.
- Proficiency in data analysis tools and languages such as Python, R, SQL, or related platforms for analysing and visualizing large datasets.
- Knowledge of machine learning concepts, NLP techniques, and AI model valuation metrics is desirable.
- Knowledge of Large Language Models, retrieval-augmented generation and generative AI concepts is desirable.
- Familiarity with conversational AI platforms, chatbot frameworks, voice recognition technologies, and customer interaction analytics tools.
- Strong analytical, problem-solving, and critical thinking skills with a keen attention to detail.
- Excellent communication and presentation skills to articulate complex data findings and insights to both technical and non-technical stakeholders.
- Ability to work collaboratively in a cross-functional environment and adapt to evolving requirements and priorities.

**Additional Requirements**:

- Experience with cloud-based AI services (e.g. Azure, AWS, Google Cloud) and data analysis on cloud platforms is a plus.
- Understanding of privacy and compliance considerations in AI data analysis, particularly in relation to customer data protection regulations.
- Knowledge of Generative AI in the Conversational AI area is a plus.
- Knowledge of software development methodologies and agile principles is beneficial.

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