GoWin - Senior Data Scientist - Generative AI
2 days ago
Description : Role : Senior Data Scientist (Gen AI Developer).
Experience : 5 to 7 Years.
Location : Hyderabad.
Employment Type : Full-Time.
Work Mode : Hybrid (4 days in office, 1 day from home).
Job Brief :
We are looking for a talented AI Engineer with hands-on experience in Speech-to-Text and Text Generation technologies to tackle a Conversational AI challenge for our client.
The goal is to transcribe customer conversations and apply Generative AI for actionable insights that improve engagement strategies and support decision-making.
You will be working with cutting-edge technologies like LLMs, NLP, and RAG pipelines to develop real-time transcription, summarization, intent recognition, and recommendation systems.
Key Responsibilities :
Conversational AI & Call Transcription :
- Develop and fine-tune Automatic Speech Recognition (ASR) models.
- Fine-tune language models for industry-specific terminology.
- Implement speaker diarization to distinguish multiple voices in a conversation.
NLP & Generative AI Applications :
- Build conversation summarization models.
- Implement Named Entity Recognition (NER).
- Apply LLMs for deep conversation analysis and smart recommendations.
- Design Retrieval-Augmented Generation (RAG) pipelines using external knowledge sources.
Sentiment Analysis & Decision Support :
- Create sentiment and intent classification systems.
- Develop predictive models for next-best-action suggestions based on historical call data and engagement.
AI Deployment & Scalability :
- Deploy models on AWS, Azure, or GCP ensuring real-time capabilities.
- Optimize inference with ONNX, TensorRT, or Triton.
- Establish MLOps pipelines for continual learning and performance optimization.
Required Skills & Qualifications :
Technical Skills :
- Proven expertise in ASR, NLP, and Conversational AI systems.
- Experience with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google STT.
- Proficient in Python, PyTorch, TensorFlow, Hugging Face.
- Familiar with RAG, LangChain, and LLM fine-tuning.
- Hands-on with vector databases (FAISS, Pinecone, Weaviate, ChromaDB).
- Experience in deploying AI solutions using Docker, Kubernetes, FastAPI, or Flask.
Soft Skills :
- Strong business acumen with the ability to translate AI insights into impact.
- Fast-paced problem-solver and innovative thinker.
- Excellent collaboration and communication skills with cross-functional teams.
Preferred Qualifications :
- Experience in healthcare, pharma, or life sciences NLP projects.
- Knowledge of multimodal AI, prompt engineering, and knowledge graphs.
- Exposure to Reinforcement Learning (RLHF) techniques for conversational models.
Why Join Us :
- Work on impactful real-world projects in Conversational AI and Gen AI.
- Collaborate with innovative teams and industry experts.
- Opportunity to work with cutting-edge tools and cloud platforms.
- Hybrid work environment fostering flexibility and balance.
- Be part of a forward-thinking, AI-first culture where your ideas matter.
Application Instructions :
If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at .
ae or by applying directly through this platform.
Note : While we appreciate every application, only shortlisted candidates will be contacted.
Your understanding is appreciated in this regard
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