Description

You will build and deploy machine learning models for subsurface data analysis, focusing on seismic and well log interpretation.

This role is on-site.

Responsibilities

• Build and deploy ML models to identify geologic characteristics like faults and horizons.
• Maintain data pipelines for image and sensor data processing.
• Train and fine-tune models for production environments.
• Implement ML Ops practices for model monitoring, versioning, and deployment.

Required Skills

• 10+ years of experience building and deploying ML models.
• Expertise in Vision Models (2D/3D) and time series signal processing.
• Proficiency in TensorFlow and PyTorch.
• Hands-on experience with ML Ops tools.
• Experience building data pipelines for image and sensor data.
• Knowledge of Google Cloud Platform (GCP).
• Experience with data labeling tools.

Preferred Skills

• Experience analyzing seismic and well log data.

Key Skills

Education

Any Graduate