Manager - Data Science Gen AI
Manager - Data Science Gen AI
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Job Description
About the Role
We are looking for an AI Engineer with experience in Speechtotext 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 AIpowered text analytics to drive better engagement strategies and decisionmaking.
The ideal candidate will have deep expertise in SpeechtoText (STT) Natural Language Processing (NLP) Large Language Models (LLMs) and Conversational AI systems. This role involves working on realtime transcription intent analysis sentiment analysis summarization and decisionsupport tools.
Key Responsibilities
1. Conversational AI & Call Transcription Development
- Develop and finetune automatic speech recognition (ASR) models
- Implement language model finetuning for industryspecific language.
- Develop speaker diarization techniques to distinguish speakers in multispeaker conversations.
2. 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 contextaware recommendations.
- Design custom RAG (RetrievalAugmented Generation) pipelines to enrich call summaries with external knowledge.
3. Sentiment Analysis & Decision Support
- Develop sentiment and intent classification models.
- Create predictive models that suggest nextbest actions based on call content engagement levels and historical data.
4. AI Deployment & Scalability
- Deploy AI models using tools like AWS GCP Azure AI ensuring scalability and realtime processing.
- Optimize inference pipelines using ONNX TensorRT or Triton for costeffective model serving.
- Implement MLOps workflows to continuously improve model performance with new call data.
Qualifications :
Technical Skills
- Strong experience in SpeechtoText (ASR) NLP and Conversational AI.
- Handson expertise with tools like Whisper DeepSpeech Kaldi AWS Transcribe Google SpeechtoText.
- Proficiency in Python PyTorch TensorFlow Hugging Face Transformers.
- Experience with LLM finetuning RAGbased architectures and LangChain.
- Handson 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 problemsolving skills and ability to work in a fastpaced AIfirst environment.
- Excellent communication skills to collaborate with crossfunctional 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
