Manager - Data Science (Gen AI)

As an AI Engineer specializing in Speech-to-text and Text Generation, you will be responsible for solving a Conversational AI challenge for a client based in EMEA. Your expertise in Speech-to-Text, Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems will be crucial in transcribing conversations and leveraging generative AI-powered text analytics to enhance engagement strategies and decision-making. Your role will involve working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. **Key Responsibilities:** - 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 - 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 - Develop sentiment and intent classification models - Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data - 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 Note: The budget for this role is fixed at INR 5055 lakhs per annum (non-negotiable). This is a hybrid role, requiring 3 days per week onsite at the office in Hyderabad, India. The interview process consists of 6 stages, including a technical assessment, code review, code discussion, and panel interviews. Blend is a premier AI services provider dedicated to co-creating impactful solutions through data science, AI, technology, and human expertise.,