Sr. Data Scientist (Gen AI)

As an AI Engineer specializing in Speech-to-Text and Text Generation, your role will involve tackling a Conversational AI challenge for a client in EMEA. The project's goal is to transcribe conversations and leverage generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Your responsibilities will include: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Key technical skills required for this role: - Strong background in Speech-to-Text (ASR), NLP, and Conversational AI - Hands-on experience with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text, Python, PyTorch, TensorFlow, Hugging Face Transformers, LLM fine-tuning, RAG-based architectures, LangChain, and Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) - Experience in deploying AI models using Docker, Kubernetes, FastAPI, Flask Soft skills such as translating AI insights into business impact, problem-solving abilities, and effective communication skills to collaborate with cross-functional teams are crucial for success in this role. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP use cases, a background in knowledge graphs, prompt engineering, and multimodal AI, as well as familiarity with Reinforcement Learning (RLHF) for enhancing conversation models.,