Project Role : Data Science Practitioner
Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Must have skills : Data Science
Valuable to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

AI Engineer / Data Scientist – NLP & Generative AI

Experience: 6–7 years
Location: India

Role Summary

Build and productionize NLP and generative AI capabilities — from classical NLP through LLM-based agentic workflows — for real-time, high-scale enterprise applications, with a focus on prompt engineering, RAG, and conversational AI experiences.

Key Responsibilities
Design, fine-tune, and optimize prompts for production LLM features (summarization, classification, sentiment, Q&A;, translation, knowledge-gap analysis)
Build agentic workflows (e.g., CrewAI, LangChain, LangGraph, or equivalent) to orchestrate RAG pipelines and multi-step evaluation/validation tasks




Apply classical NLP techniques (clustering, sentiment analysis, NER, topic modeling, text classification) using transformer models alongside LLMs where appropriate
Develop and deploy real-time inference APIs to serve AI features to production applications at scale
Integrate speech-to-text and text-to-speech capabilities for conversational/simulation use cases
Build monitoring/analytics pipelines for productivity and quality metrics derived from AI outputs
Iterate on model performance through hyperparameter tuning, feedback loops, and evaluation against production data
Work across open-source and hosted LLMs, selecting the right model/deployment for cost, latency, and accuracy needs
Partner with data engineering on ingestion/synchronization pipelines across relational and vector data stores
Present KPI metrics, model performance, and insights to business stakeholders via dashboards

Required Skills & Experience

6+ years in NLP / dat

📌 Data Science Practitioner (Hyderabad)
🏢 Accenture
📍 Hyderabad