Description:
We are seeking a highly skilled Data Scientist with extensive experience in Voice AI, RAG (Retrieval-Augmented Generation), and data manipulation from multiple sources. The ideal candidate should have a strong background in data extraction, vectorization, and model-building. This role requires someone who can effectively adapt information for Natural Language Processing (NLP) and has hands-on experience in developing scalable AI-driven solutions.
Key Responsibilities:
- Work with Telephony systems and Voice AI technologies to enhance AI-driven voice applications.
- Develop and implement Retrieval-Augmented Generation (RAG) systems for improving data adaptability and AI responses.
- Manipulate and integrate data from diverse sources, ensuring high-quality datasets for machine learning models.
- Develop efficient methods for data extraction, vectorization, and module development.
- Collaborate with cross-functional teams to optimize AI models for real-world applications.
- Design and implement NLP-based solutions for improving AI-driven conversational models.
- Ensure data integrity and scalability of AI solutions through rigorous testing and validation.
Required Experience & Qualifications:
- Over 5 years of experience in data science, AI, and machine learning.
- Proven experience in working with Telephony systems and Voice AI technologies.
- Strong background in Retrieval-Augmented Generation (RAG) and data preparation for AI systems.
- Hands-on experience with data manipulation, feature engineering, and model deployment.
- Expertise in NLP techniques, including data extraction, vectorization, and knowledge adaptation for AI-driven systems.
- Proficiency in Python, TensorFlow, PyTorch, or other machine learning frameworks.
- Experience in handling large-scale datasets and cloud-based AI solutions.
- Strong problem-solving skills and the ability to work independently on complex AI challenges.