You will design and implement AI solutions for back-office contact centers, including virtual assistants for voice and chat, intelligent routing, and sentiment-aware customer support.
Responsibilities
- Develop and maintain Natural Language Processing (NLP) models analyzing customer inquiries across voice, chat, email, and social media.
- Integrate AI capabilities with existing systems like Microsoft Dynamics CRM, website, and mobile apps.
- Monitor and optimize AI model performance to ensure accuracy and responsiveness.
- Leverage machine learning to predict customer needs and personalize interactions to reduce call volumes.
- Document all technical and functional designs, test plans, and impact analyses for all work.
Required Skills
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- 5+ years of experience in AI Machine Learning (ML) development, preferably in retail or customer service.
- Strong programming skills in Python and experience with ML frameworks like TensorFlow and PyTorch.
- Proficiency in NLP tools and libraries such as spaCy, Hugging Face, or NLTK.
- Hands-on experience with Microsoft Dynamics Contact Center solution, building voice bots and chatbots using Copilot Studio and Azure AI services.
- Experience with cloud platforms, specifically Azure, and deploying AI models into production.
- Experience with Kafka and Spark.
- Familiarity with ITIL practices.
- Experience with Zendesk or Salesforce Service Cloud.
Preferred Skills
- Experience with voice AI and speech-to-text technologies.
- Knowledge of customer journey analytics and personalization engines.