Data Scientist – AI/ML (NLP Specialisation)
Location
Hyderabad (Remote Friendly)
Job Type
Full-time
Experience
3-6 years
Salary
18–28 LPA
About This Role
Our client is a fast-growing global SaaS company with a flagship AI-powered enterprise platform used by Fortune 500 companies across 40 countries. Their Hyderabad AI Centre of Excellence is the global hub for all machine learning research and product AI — and they are looking for a Data Scientist with deep NLP expertise to join this team.
About the Role
You will work on cutting-edge NLP and large language model (LLM) applications that power the company's core product intelligence features — from intelligent document processing and semantic search to conversational AI and predictive analytics. This is a research-meets-engineering role with direct product impact.
Key Responsibilities
- Build and deploy NLP models for intelligent document processing and information extraction
- Develop and fine-tune LLM-based applications using RAG and prompt engineering
- Collaborate with product and engineering teams to integrate AI into core platform features
- Design and run experiments to evaluate model performance and drive improvements
- Publish research findings and represent the company at AI conferences
Requirements
- 3-6 years of hands-on data science / ML engineering experience
- Strong expertise in NLP — text classification, NER, summarisation, semantic search
- Experience working with LLMs — fine-tuning, RAG architectures, prompt engineering
- Proficiency in Python and ML libraries (PyTorch, Hugging Face, scikit-learn)
- Experience with MLOps — model deployment, monitoring, and versioning
- Strong understanding of statistics and machine learning fundamentals
- Master's or PhD in Computer Science, Statistics, or related field preferred
Benefits
- Competitive salary benchmarked to global AI talent market
- Remote-friendly work model with flexible hours
- Annual conference and research publication budget
- Access to premium GPU compute infrastructure
- Health insurance for family
- Annual international team offsite
Required Skills
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