Senior Data Scientist - Generative AI

About the Role : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities : Conversational AI & Call Transcription Development : - Develop and fine-tune automatic speech recognition (ASR) models - Implement language model fine-tuning for industry-specific language. - Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications : - Build summarization models to extract key insights from conversations. - Implement Named Entity Recognition (NER) to identify key topics. - Apply LLMs for conversation analytics and context-aware recommendations. - Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support : - Develop sentiment and intent classification models. - Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability : - Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. - Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. - Implement MLOps workflows to continuously improve model performance with new call data. Qualifications : Technical Skills : - Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. - Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. - Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. - Experience with LLM fine-tuning, RAG-based architectures, and LangChain. - Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. - Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills : - Ability to translate AI insights into business impact. - Strong problem-solving skills and ability to work in a fast-paced AI-first environment. - Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications : - Experience in healthcare, pharma, or life sciences NLP use cases. - Background in knowledge graphs, prompt engineering, and multimodal AI. - Experience with Reinforcement Learning (RLHF) for improving conversation models. (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 5/9/2025