Description:
As a frontrunner in AI and geology, our company is seeking an experienced ML Engineer for an ambitious project in developing 3D models of subsurface terrains using GEMS technology. The project involves integrating cutting-edge machine learning methodologies with geophysical data to achieve new levels of accuracy and detail in 3D modeling.
Responsibilities:
- Design, develop, and refine AI-based software programs utilized in the GEMS methodology for geophysical exploration.
- Apply advanced mathematical and statistical techniques to improve the accuracy and efficiency of these AI models.
- Develop new algorithms and optimize existing ones for geophysical data analysis and modeling.
- Implement numerical methods and algorithmic models to solve complex problems related to geophysical exploration.
- Work closely with geophysicists, data scientists, and other engineers to ensure mathematical models and algorithms align with geophysical exploration needs.
- Participate in interdisciplinary team meetings to discuss project progress, share insights, and provide recommendations.
- Conduct research to explore new mathematical models, statistical methods, and AI techniques applicable to geophysical exploration.
- Stay updated with the latest advancements in mathematics, machine learning, and geophysics to continuously improve project methodologies.
- Document all stages of program and algorithm development to ensure clear, reproducible workflows.
- Prepare technical reports, documentation, and presentations to communicate findings and methodologies to stakeholders and team members.
Qualifications
- Profound knowledge in neural networks, reinforcement learning, and deep learning;
- Proficiency in Python, TensorFlow/Keras, or PyTorch, and experience in applying these tools in machine learning projects;
- Understanding of geological and geophysical data processing methods, including 3D visualization and seismic data interpretation;
- Ability to handle large datasets, including collection, cleansing, and analysis.
Benefits:
- Competitive salary and performance bonuses.
- Opportunities for professional development and continuous learning.
- Health and wellness programs.
- Flexible working hours and remote work options.