Senior Lead AI/ML Engineer - R01573661

Senior Lead AI/ML Engineer

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: 5 to 8 years of experience in AI/ML engineering, including substantial hands-on work in conversational AI solution architecture, Microsoft Teams and Azure AI integration, and SharePoint grounding approaches Key Responsibilities: 1. Architect and lead the development of conversational AI solutions, integrating Microsoft Teams, Azure AI, and SharePoint platforms 2. Develop and optimize dialogue systems utilizing advanced NLU, NLG, and ASR technologies to enhance translation and conversational capabilities 3. Establish and enforce technical governance, security protocols, and compliance standards for conversational AI deployments 4. Drive SharePoint grounding approaches for conversational workflows, ensuring seamless data integration and retrieval 5. Configure, deploy, and manage conversational AI platforms including RASA, Kore.ai, Google Dialog Flow, and IBM Watson 6. Apply reinforcement learning and recurrent neural networks to improve dialogue management and system performance 7. Collaborate with cross-functional teams to deliver scalable, secure, and high-performing AI-driven conversation solutions 8. Conduct rigorous testing, evaluation, and optimization of conversational AI models using Spark NLP and related frameworks Required Skills: 1. Expertise in dialogue design for conversational AI systems 2. Advanced skills in syntax and semantic analysis for natural language processing 3. Hands-on experience with reinforcement learning algorithms 4. Strong proficiency in text classification and natural language understanding (NLU) 5. Proficiency in RASA conversational AI platform 6. Experience with Kore.ai, Google Dialog Flow, and IBM Watson platforms 7. Practical knowledge of Spark NLP for model development and evaluation 8. Implementation of recurrent neural networks for conversational AI applications 9. Advanced knowledge of automatic speech recognition (ASR) technologies 10. Experience with natural language generation (NLG) for conversational systems Preferred Skills: 1. Experience integrating Azure AI services with Microsoft Teams 2. Expertise in SharePoint data grounding for conversational workflows 3. Familiarity with conversational AI testing tools such as Botium or TestMyBot 4. Knowledge of enterprise-scale conversational governance frameworks 5. Background in deploying secure and scalable AI solutions in large organizations Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a closely related discipline 2.

Microsoft Certified

Azure AI Engineer Associate or equivalent AI/ML certification 3. Certification in conversational AI platforms such as RASA or IBM Watson