Data scientist with PyTorch

Описания нет

• Apply and develop deep learning models (U-Nets, CNNs and related architectures) for denoising and structural interpretation of 2D and 3D seismic data
• Improve the accuracy, robustness and performance of existing seismic ML solutions, including model retraining, architecture refinement and hyperparameter tuning
• Develop models for structural interpretation tasks such as fault detection, horizon tracking and seismic facies classification
• Work closely with Geoscientists and Geophysicists to validate model outputs against expert interpretation and well data, and incorporate their feedback into model improvements
• Identify, evaluate and propose new business use cases where computer vision and deep learning can add value across exploration and production workflows
• Stay up to date with research in computer vision and seismic ML, and assess new methods for practical application
• Follow good engineering practices for reproducible experiments, model versioning and deployment of models into production workflows

• Preferably 2-4 years of experience in similar roles (ML Engineer, Data Scientist or Geophysicist with a strong ML focus), including hands-on experience applying deep learning to real-world image or volumetric data
• Understanding of Computer Vision, including image segmentation, denoising, feature extraction and convolutional architectures
• Proficiency in PyTorch for building, training and evaluating deep learning models
• Expertise in U-Net, CNN and related architectures for 2D and 3D seismic data
• Background in the Upstream Oil & Gas domain, working with Geoscience and Seismic data and teams
• Understanding of seismic data concepts such as acquisition and processing basics, seismic attributes, noise types and structural features (faults, horizons)
• Strong Python skills
• English proficiency at B2 level or higher
• Будет плюсом: Experience with transformer-based or self-supervised models for vision or seismic data; Familiarity with MLOps tools (e.g. MLflow), Docker and cloud AI services (Azure, AWS or GCP)

• Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Medical & family care package
• Six trust days per year (sick leave without a medical certificate)
• Coverage of psychology sessions of your choice
• Benefits package (sports activities, a variety of stores and services)
• Housing support program: preferential mortgage access via Otbasy Bank partnership