**Associate ML/DL Algorithm Developer** **Location**: Baku, Azerbaijan **Type**: Full-time **Candidate types**: Locals **Company**: WAVERITY LLC **About WAVERITY** WAVERITY is a rapidly growing **tech startup** in the energy sector, developing AI-powered, physics-informed subsurface imaging solutions to address complex **geological and geophysical challenges**. By combining advanced artificial intelligence with state-of-the-art mathematical and computational methods, WAVERITY is transforming **seismic imaging, well logging, and modeling workflows**, enabling more accurate exploration, smarter decision-making, and improved management of subsurface resources. We are looking for dynamic, enthusiastic, and tech-oriented talents to join our team in Baku and help us on our journey to deliver the latest cutting-edge technologies to customers worldwide. If you are passionate about innovation, eager to take ownership, and ready to grow in a high-impact environment, we’d love to hear from you. Join us and be part of a team delivering the next generation of subsurface technology to the global energy industry. **What You’ll Do** - Support algorithm development under supervisor guidance - Build and validate algorithms and prototypes - Develop analytical tools and programs - Write reports and prepare presentations - Professional communication with clients **What You Bring** - Bachelor’s or Master’s program in Geophysics, Applied Mathematics, Computer Science, Physics, or a closely related field - Minimum 1 year experience as a data engineer/scientist or in a similar role - Expert with DL models, optimization and customization - Knowledge of Machine Learning techniques - Programming Skills – good knowledge of Python for scientific computing - Knowledge of Statistics and Linear Algebra - Expertise in signal and image processing - Good numerical and analytical skills - Excellent Communication Skills – efficiently communicating with both a technical and non-technical audience. **Our benefits include:** - Medical insurance - Flexible working hours - Wellness program - Childcare support - Company-provided lunch