AI Engineer

AI Data ScientistRole Overview
We are looking for an innovative AI Data Scientist to design and implement synthetic data solutions that power advanced AI workflows. This role involves creating high-fidelity, privacy-compliant datasets, applying generative modeling techniques, and collaborating with cross-functional teams to integrate data into GenAI applications.
Key Responsibilities
Synthetic Data Generation: Design, generate, and validate synthetic datasets across multiple formats (tables, time-series, images, PDFs, JSON, Excel, CSV).
Generative Modeling & Privacy: Apply techniques such as GANs, VAEs, statistical resampling, and data masking to simulate realistic, privacy-aware data.
Data Enrichment & Classification: Clean, tag, classify, and enrich real or synthetic data to support risk detection, insights, and LLM-driven decision workflows.
Research & Innovation: Explore emerging techniques for structured output extraction and data simulation; share findings, tool...