About Position:
We are seeking an experienced and highly skilled Data Scientist specialising in Generative AI and Synthetic Data Generation to design, develop, and deploy advanced data-driven solutions. This role focuses on building and optimising generative models capable of producing high-quality synthetic data that closely mimics real-world datasets across domains such as text, images, and structured data. The ideal candidate will play a critical role in leveraging machine learning and statistical techniques to enhance model performance, scalability, and reliability. You will collaborate closely with AI researchers, engineers, and domain experts to drive innovation in generative AI systems, particularly in data-constrained or regulated environments.
Role: Data Scientist - Synthetic Data
Location: All Persistent Locations
Experience: 8 to 12 years
Job Type: Full-Time Employment
What You'll Do:
Synthetic Data Generation (Must-Have):
Design and develop machine learning models for synthetic data generation using techniques such as GANs, VAEs, diffusion models,



and other deep generative approaches. Ensure generated data maintains statistical fidelity, diversity, and privacy compliance.
Data Collection & Preprocessing:
Identify, acquire, and curate relevant datasets. Perform data cleansing, transformation, and structuring to ensure high-quality inputs for training generative models.
Model Development & Training:
Build end-to-end data pipelines and workflows for training generative AI models using state-of-the-art architectures including GANs, Variational Autoencoders, Normalizing Flows, and Diffusion Networks.
Expertise You'll Bring:
Master’s or Ph. D. in Computer Science, Data Science, Machine Learning, or a related discipline with a focus on AI or generative modelling.
Mandatory experience in synthetic data generation using machine learning or deep learning models.
Solid proficiency in Python and leading AI frameworks such as Tensor Flow or Py Torch.
In-depth unders

📌 Data scientist (Pune)
🏢 Persistent Systems
📍 Pune