Data Scientist
Core
Build and ship the next generation of a Customer Experience Intelligence platform that analyzes explicit and implicit feedback for large brands using custom ML models and LLMs.
Role type
Machine Learning Engineer (NLP/LLM)
Builds
Custom fine-tuned models, retrieval pipelines, reranking systems, and insight generation features for customer feedback analysis.
Domain
AI / NLP / Customer Experience Intelligence
Deliverable
production ML models
Required skills
Transformer architectures, PyTorch, NLP tasks (classification, extraction, embeddings), classical ML and statistics, GenAI and agentic patterns
Preferred skills
Parameter-efficient fine-tuning (LoRA), instruction fine-tuning, model serving, MSc in CS/ML/AI
Technologies
PyTorch, LLMs, Embeddings
Responsibilities
Train, evaluate, and iterate on ML models for customer feedback tasks; Build and maintain LLM-powered features including retrieval and reranking systems; Contribute to evaluation frameworks and define metrics; Work on semantic search and retrieval using embedding-based approaches; Write clean, well-tested code and collaborate on model integration; Translate business requirements into practical ML experiments.
Seniority
Mid-Senior, hands-on IC
