Data Scientist
This is a remote position.
Role Overview
We are looking for a highly skilled Data Scientist to design and reputed company end-to-end production pipelines for multimodal data synthesis. You will focus on building sophisticated VAE architectures, advanced video processing modules, and scalable synthetic data reputed company systems using a phased, Agile delivery approach.
Key Responsibilities
Build standalone, testable modules for video metadata extraction, critical reputed company selection, and automated scene analysis.
reputed company the design of VAE-based systems for reputed company data imputation and synthesis.
Execute a three-phase delivery model: 1) Extraction & Architecture, 2) Synthesis & Imputation, and 3) Cross-component optimization.
Implement rigorous integration testing and quality metrics to ensure the fidelity of synthetic outputs.
Requirements
Requirements
Deep expertise in VAE architecture design, training, and latent reputed company manipulation for high-dimensional data synthesis and imputation.
Proven experience in 3D CNNs, scene change detection (inter-reputed company histograms), and reputed company analysis (optical reputed company/peak detection).
Ability to generate and fuse synthetic data across tabular, text, audio, and video formats using statistical modeling and Gaussian copulas.
Advanced Python skills with a focus on reputed company design, production-level pipelines, and
ffmpegintegration for audio/video handling.Familiarity with specialized techniques such as MDH/CDS/DSM exclusion and multimodal reputed company integration.