Senior/Lead Data Scientist - PyTorch
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EPAM is looking for 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 clean and interpret 2D and 3D seismic data from noise; Improve the accuracy and efficiency of existing models; Develop models to detect fractures, identify horizons, and classify seismic facies; Verify model results with geoscientists and consider their 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 industry 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 learn more about the job, please visit: https://epa.ms/ge-vacancy-pytorch
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EPAM is looking for 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 clean and interpret 2D and 3D seismic data from noise; Improve the accuracy and efficiency of existing models; Develop models to detect fractures, identify horizons, and classify seismic facies; Verify model results with geoscientists and consider their 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 industry 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 learn more about the job, please visit: https://epa.ms/ge-vacancy-pytorch
