Data Science Lead

Primary Skills

• Dialogue Design, Syntax and semantic analysis, Reinforcement learning, Text Classification, Governance for Conversational AI, RASA, Natural Language Understanding (NLU), Kore.ai, GDF (Google Dialog Flow), IBM Watson, Automatic Speech Recognition (ASR), Dialogue Management (NLG), Spark NLP, Recurrent Neural Networks, Conv AI Testing

Specialization

• Conversational AI: Senior Data Scientist

Job requirements

• Experience Range: 8 to 12 years of experience in data science and conversational AI, including substantial expertise in designing, deploying, and optimizing AI-driven dialogue systems for enterprise environments Key Responsibilities: 1. Design and lead solution architecture for conversational AI platforms, ensuring scalability, reliability, and measurable business outcomes 2. Develop and optimize dialogue models using advanced syntax and semantic analysis, reinforcement learning, and text classification to improve user engagement 3. Establish and enforce governance frameworks for conversational AI, including security protocols, technical compliance, and best practices 4. Integrate and configure conversational AI technologies such as RASA, Kore.ai, Google Dialog Flow, IBM Watson, and Spark NLP for seamless end-to-end solutions 5. Oversee SharePoint grounding and data integration strategies to ensure robust knowledge management within AI-driven workflows 6. Drive technical governance for Microsoft Teams and Azure AI deployments, collaborating with cross-functional teams to align with organizational objectives 7. Lead rigorous testing and validation of conversational AI systems, including automatic speech recognition and dialogue management components, to ensure high accuracy and performance 8. Mentor and guide junior data scientists and engineers, fostering innovation and continuous improvement within the team Required Skills: 1. Expertise in dialogue design for conversational AI platforms 2. Advanced syntax and semantic analysis for natural language processing 3. Reinforcement learning algorithms for dialogue systems 4. Text classification techniques for conversational AI 5. Technical governance and compliance for AI solutions 6. Hands-on experience with RASA and Kore.ai frameworks 7. Proficiency in Google Dialog Flow and IBM Watson 8. Automatic Speech Recognition (ASR) integration and optimization 9. Dialogue Management and Natural Language Generation (NLG) 10. Spark NLP for advanced text processing 11. Recurrent Neural Networks for sequence modeling Preferred Skills: 1. Experience with Azure AI and Microsoft Teams integration 2. Expertise in SharePoint data grounding for AI applications 3. Advanced knowledge of security frameworks and protocols for conversational AI 4. Familiarity with cloud-based deployment and orchestration of AI solutions 5. Proficiency in scalable architecture design for enterprise AI systems Desired Qualifications: 1. Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a closely related discipline 2. Certification in conversational AI platforms such as RASA, Google Dialog Flow, or IBM Watson 3. Microsoft Azure AI or cloud architecture certification (e.g., Azure AI Engineer Associate) Additional Information: Hiring for AI translation and conversation