Company project team is located in Baku.
Key responsibilities:
- Working on cutting-edge projects, specifically focusing on Physics-Informed Neural Networks (PINNs) within an interdisciplinary team.
- Develop, implement, and validate PINNs for modeling and solving differential equations related to complex physical phenomena.
- Collaborate closely with domain experts to integrate physics constraints into neural network architectures.
- Conduct research aimed at improving the training efficiency, convergence, and accuracy of PINN models.
- Analyze, interpret and visualize deep learning model outcomes translating results into actionable insights.
Key requirements:
Mandatory Requirements:
- 3+ years of experience as a DL Engineer or in relevant positions.
- Strong expertise in Deep Learning frameworks (e.g., PyTorch, TensorFlow).
- Solid understanding of theoretical physics, with the capability to derive and implement governing equations in neural network models.
- Proficiency in applied mathematics, particularly in partial differential equations (PDEs), numerical methods, and optimization techniques.
- Excellent programming skills in Python, particularly focused on deep learning and scientific computing.
- Knowledge of English.
- Experience developing and training Physics-Informed Neural Networks (PINNs) or similar models.
- Background or experience in Geophysics, especially seismic inversion, wave propagation, or related areas.
- Familiarity with numerical simulation tools and methods such as Finite Difference, Finite Element, or Spectral methods.
- Knowledge of probabilistic approaches, Bayesian methods, or uncertainty quantification in deep learning.
- Familiarity with MLOps practices and tools, including model versioning, continuous integration and deployment (CI/CD), experiment tracking, and containerization (e.g., Docker, Kubernetes).
Work conditions:
- Relocation to Baku;
- Company provides relocation package, including travel expenses and housing support, up to 1 month while searching for an apartment for rent in Baku;
- Company will not provide accommodation allowance;
- Company helps in obtaining an Azerbaijani Residence Permit;
- 1-year short-term initial contract with future prolongation;
- Standard 5-day work week, 40 hrs a week.
Please, send your CV to hr@amur-point.ru
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