Data Scientist I / Data Scientist II
Prismforce (company site, opens in a new tab)3–5 yrsBengaluruHybridDirect career pageEst. 18–30 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Fine-tune transformers and large language models (LoRA/QLoRA) for entity extraction, classification, and reranking relevant to job descriptions and resumes.
- Build and deploy production models including knowledge graphs, retrieval, clustering, and learning-to-rank pipelines over large taxonomies.
- Design model evaluations, perform error analysis, and ship models to production impacting large-scale enterprise clients in India and the US.
Minimum Requirements
- 1–3 years of hands-on applied NLP or ML experience for Data Scientist I; 3–5 years for Data Scientist II.
- Strong proficiency in Python and ML frameworks including PyTorch, Hugging Face Transformers, sentence-transformers, pandas, and scikit-learn.
- Experience fine-tuning transformer models independently using encoder-decoder architectures with PEFT methods like LoRA/QLoRA.
- Proficiency in SQL and ability to analyze data at scales of millions of records.
Ideal Candidate Profile
- Experienced practitioner comfortable working end-to-end with complex NLP models including embeddings, attention mechanisms, and learning-to-rank.
- Capable of handling ML lifecycle tools such as experiment tracking, model versioning, Docker, and GPU training/serving on AWS, indicating a production-focused mindset.
- Familiar with knowledge graphs, large taxonomies, and advanced NLP/IR techniques, demonstrating ability to contribute across breadth of extraction, ranking, and LLM-based solutions.