Data Scientist
Core
Design, develop, and deploy intelligent models and RAG-based systems to solve real-world business problems using Generative AI and LLMs.
Role type
Mid-level IC data scientist (Generative AI / NLP)
Builds
Production ML pipelines, RAG systems, and Generative AI applications
Domain
Enterprise software, Generative AI, NLP
Deliverable
production ML models
Required skills
Python, LLM-based applications, RAG frameworks, NLP techniques, Deep Learning architectures, Machine Learning algorithms, Statistical modeling, Data ingestion, Feature engineering, Model deployment, Model monitoring, Data quality, Model evaluation
Preferred skills
Experience with unstructured data, Custom solution implementation
Technologies
Python, LLMs, RAG frameworks
Responsibilities
Architect and implement RAG-based systems for information retrieval. Develop and fine-tune Generative AI models for workflow automation. Design end-to-end ML pipelines from ingestion to deployment. Collaborate with stakeholders to identify high-impact NLP and Deep Learning use cases. Optimize models for performance, scalability, and cost-efficiency. Maintain data quality and model evaluation standards.
Seniority
Mid-level, hands-on IC