Graduate Engineer - ESP Calculations & Machine Learning

nybl; Riyad Al Khabra; On-site; SAR 60,000 - 80,000; Full time

Job summary

A tech forward company in Al-Qassim Province is seeking a Junior Engineer to assist with engineering calculations and machine learning algorithms for Electrical Submersible Pumps. The ideal candidate has a Bachelor's degree in Petroleum Engineering and proficiency in Python, along with a solid understanding of ESP operations and data analysis. This is an exciting opportunity to tackle real-world energy challenges in a supportive environment.

Qualifications

• Understanding of ESP operation and production systems.
• Familiarity with basic machine learning methods.
• Willingness to learn and attention to detail.

Responsibilities

• Gather and examine ESP field data.
• Help create performance calculations for ESPs.
• Assist in designing machine learning models.
• Create and update scripts for engineering processes.

Skills

Proficiency in Python

Knowledge of data analysis

Analytical approach

Education

Bachelor’s degree in Petroleum Engineering

Tools

MATLAB

Excel

VBA

Job description

Overview

About nybl: We are developing an AI ecosystem that enables businesses in any industry to deploy AI solutions using our platform and applications. Our technology lets anyone build AI solutions without writing code or needing a degree in Data Science. Our ecosystem has potential across healthcare, agriculture, education, and industry with limitless applications.

What you'll do

We're on the hunt for an enthusiastic Junior Engineer to help with engineering calculations and machine learning algorithms for Electrical Submersible Pumps (ESPs). This position is ideal for someone with a solid technical foundation in petroleum, electrical, or mechanical engineering, an interest in production optimization, and a passion for using data science and programming to tackle real-world energy challenges.

Responsibilities

• Gather, organize, and examine ESP field data (production, electrical, and fluid characteristics).
• Help in creating and verifying ESP performance calculations (head, power, efficiency, pumpability ranges).
• Apply correlations for fluid characteristics and IPR / VLP models.
• Assist in designing and testing machine learning models for optimizing ESP and predicting failures.
• Create and update Python / Excel / MATLAB scripts for engineering and ML processes.
• Record algorithms, generate reports, and present results for engineering and management teams.
• Work with senior engineers to incorporate solutions into production monitoring systems.

Qualifications

• Bachelor’s degree in Petroleum Engineering.
• Fundamental understanding of ESP operation and production systems (academic experience or internships are acceptable).
• Proficiency in Python (preferred), MATLAB, or VBA for engineering tasks.
• Knowledge of data analysis, regression, and basic machine learning methods.
• Analytical approach with a focus on detail and a willingness to learn.