Разработчик алгоритмов ML/DL

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

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