Electrical Engineer and Python Expert

Explore more jobs; Kuwait City; On-site; KWD 9,400 - 16,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This role involves contributing to short-term projects on a part-time, non-permanent basis.

Contributors may design computational problems, craft Python-based solutions, and verify results using standard engineering libraries. Prior experience in engineering, Python, and numerical methods is valued; certifications are a plus.

Qualifications

• Degree in Electrical Engineering or related fields.
• Python proficiency for numerical validation; MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or domain-specific libraries acceptable.
• 2+ years of professional experience in engineering, research, or teaching.
• Understanding of practical engineering constraints and approximations.
• Professional certifications (e.g., CMME, SAS Certifications) and experience in international or applied projects are an advantage.

Responsibilities

• Design original computational engineering problems that simulate real engineering workflows;
• Create problems requiring Python programming to solve engineering calculations and simulations;
• Ensure problems are computationally intensive and require numerical methods or iterative solutions;
• Develop problems involving system design, optimization, and analysis;
• Base problems on real research challenges or practical applications from engineering practice;
• Verify solutions using Python with standard engineering libraries;
• Document problem statements clearly and provide verified correct answers.

Skills

Python programming

Numerical analysis

Attention to detail

Education

Bachelor's degree in Electrical Engineering or related fields

Tools

MATLAB

R

SQL

NumPy

Pandas

SciPy

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

• Design original computational engineering problems that simulate real engineering workflows;
• Create problems requiring Python programming to solve engineering calculations and simulations;
• Ensure problems are computationally intensive and require numerical methods or iterative solutions;
• Develop problems involving system design, optimization, and analysis;
• Base problems on real research challenges or practical applications from engineering practice;
• Verify solutions using Python with standard engineering libraries;
• Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Electrical Engineering or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Understanding of practical engineering constraints and approximations;
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.