Data Scientist with Gen AI

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Computer Science
Algorithms
PyTorch
JAX
NumPy
C++
Unix
Docker
CPU
GPU
Publishing
Machine Learning (ML)
Computer Vision
3D Computer Graphics
Real-time
Writing
Training
Scratch
Deep Learning
LVM
Active Learning
Management
Semantic Search
GCS
Programming Languages
Java
Python
Bash
Apache Spark
SQL
Streaming
Apache Hadoop
MapReduce
Apache Maven
Version Control
Git
Continuous Integration and Development
Continuous Integration
Jenkins

Job Details

Hiring: W2 Candidates Only

Location: USA

Visa: Open to any visa type with valid work authorization in the USA

Experience Required: 6 to 12 years

Level: Mid to Lead positions

Minimum qualifications:



Master's degree in Computer Science with specialization in computer vision and/or machine learning or equivalent practical experience.



1 year of experience with machine learning algorithms and tools and 1 year of experience in deep learning. Experience in launching Machine Learning models in products and building production pipelines/services.



Experience with Pytorch, Pytorch3D, JAX, numpy, C++, Python, Unix, Docker, CPU and GPU architectures, Triton/TensorRT frameworks.



Experience with publishing at conferences/journals in Machine learning/Computer Vision



Preferred qualifications:



Master's degree or PhD in Engineering, Computer Science, or a related technical field.



Experience with 3D Real-time rendering of scenes, objects.



Experience writing architectures with CNNs, vision transformers and pre-training from scratch/fine-tuning.



Using LLMs for scene captioning



Experience with deep learning architectures such as GANs, diffusion models, rectified flow transformers, flow matching models, and LVM/VFM architectures.



Experience with Few-shot learning, transfer learning, unsupervised and semi-supervised methods, contrastive learning, active learning, weakly supervised auto labeling, semantic search index.



Experience with GCS, BigQuery, Nvidia Toolkits or equivalent.



Demonstrated knowledge of the following programming Languages: Java, Python, Bash, Spark (SQL, Streaming), Hadoop Map-Reduce experience. Build Manager (Maven), Distributed Version Control (GIT), Continuous Integration (Jenkins) experience, Copilot/Cursor/other coding assistants.

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