Lead Data Scientist - PyTorch

EPAM is seeking a Senior Data Scientist with PyTorch knowledge. You will join a team of geoscientists, geophysicists, data scientists, and machine learning engineers and create deep learning solutions for seismic data. You will also improve existing ML solutions and explore new business opportunities.

What you will do:

Create deep learning models to denoise and interpret 2D and 3D seismic data; Improve the accuracy and efficiency of existing models; Develop models for fracture detection, horizon determination, and seismic facies classification; Collaborate with geoscientists to validate model results and incorporate feedback; Identify new opportunities where computer vision and deep learning can benefit the business.

Who we are looking for:

2-4 years of experience as an ML engineer, data scientist, or ML-focused geophysicist; Experience applying deep learning to real images or volumetric data; Good knowledge of computer vision and PyTorch; Experience with U-Net, CNN, and similar architectures; Knowledge of the oil and gas extraction domain and seismic data; Good Python skills; English language proficiency at B2+ level.

Advantage: Knowledge of transformer-based models, MLOps tools (e.g., MLflow), Docker, and cloud AI services.

To view the full job description, please follow this link: https://epa.ms/ge-vacancy-pytorch