Algorithm Developer

Nybl; Dubai; On-site; AED 120,000 - 160,000; Full time

Job summary

A leading company in the oil and gas sector is seeking a skilled engineer to design and implement algorithms for product deployment and optimization. The role involves collaborating in a team to enhance digital oilfield practices, requiring a strong background in petroleum engineering and software development. Ideal candidates will possess analytical skills and experience with artificial lift systems, contributing to innovative solutions in field development.

Qualifications

• Background in petroleum engineering with experience on Electrical Submersible Pumps.
• Experience with software development and product ownership is valued.
• Familiarity with commercial well testing and nodal analysis software.

Responsibilities

• Design and implement scalable algorithms in a team environment.
• Calibrate existing algorithms for various hardware configurations.
• Conduct independent analysis for field development planning.

Skills

Analytical skills

Business awareness

Machine learning

Data analytics

Deep learning

System modeling

Control systems

Education

BS or MS in Petroleum Engineering

BS or MS in Chemical Engineering

BS or MS in Mechanical Engineering

Tools

Excel VBA

Job description

- Design and implement scalable algorithms in a team environment.

- Define specifications for productization and deployment.

- Calibrate existing algorithms for various hardware configurations and applications.

- Self-identify, troubleshoot, and resolve issues within product software.

- Conduct independent analysis based on digital oilfield practices for field development planning and production optimization.

- Design and execute data acquisition programs (PVT, SCAL).

- Effectively communicate complex analytical concepts and insights to audiences with varying expertise and leadership levels.

Requirements:

- BS or MS in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or related fields.

- Strong analytical skills and business awareness.

- Background in petroleum engineering with experience on Electrical Submersible Pumps.

- Experience with software development and product ownership is valued.

- Experience in artificial lift design, diagnosis, and optimization for ESPs, SRPs.

- Knowledge of machine learning, data analytics, deep learning, system modeling, and control systems is beneficial.

- Familiarity with commercial well testing and nodal analysis software.

- Proficiency in Excel VBA; programming experience in other languages is advantageous.