Civil Engineer & Python Pro for AI Projects (Part-Time)

Mindrift

Minnesota

On-site

USD 56,000 - 95,000

Part time

14 days+
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Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a part-time, non-permanent engagement.

Ideal candidates will have a Civil Engineering degree, 2+ years of professional experience, and strong Python skills for numerical validation. Familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy or related libraries is valued.

Qualifications

  • Degree in Civil Engineering or related field.
  • Strong Python proficiency for numerical validation.
  • 2+ years of professional experience: applied, research, or teaching experience is applicable.
  • Understanding of practical engineering constraints and approximations.
  • Strong written English (C1+)

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 proficiency

Education

Civil Engineering degree

Tools

MATLAB
R
C
SQL
Numpy
Pandas
SciPy

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a part-time, non-permanent engagement.

Ideal candidates will have a Civil Engineering degree, 2+ years of professional experience, and strong Python skills for numerical validation. Familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy or related libraries is valued.

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