Senior Data Scientist - Gen AI

We are looking for an Data Scientist with experience in Speech-to-text and Text Generation and KPI Extraction 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:

1. Conversational AI & Call Transcription Development

• Implement language model fine-tuning for industry-specific language.

1. 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.

1. 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.

1. 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.

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.

Why Blend360?

• Impactful Technical Work: Be at the forefront of AI innovation, designing and implementing cutting-edge technical solutions for leading companies and making a tangible impact on their businesses.
• Growth Opportunities: Thrive in a company and innovative team committed to growth, providing a platform for your technical and professional development.
• Collaborative Culture: Work alongside a team of world-class experts in data science, AI, and technology, fostering an environment of learning, sharing, and mutual support on complex technical challenges.
• Bold Vision: Join a company that is brave, goes the extra mile to innovate, and delivers bold visions for the future of AI.
• If you are a visionary & passionate about leveraging AI and GenAI to drive business transformation and are excited by the prospect of shaping the future of our clients, we encourage you to apply!