Mechanical Engineer

Pentangle Tech Services | P5 Group; Virginia Beach (VA); Presencial; USD 85.000 - 110.000; Jornada completa

Descripción de la vacante

Pentangle Tech Services | P5 Group is seeking a Python Developer with mechanical engineering knowledge to build predictive maintenance solutions for engines, pumps, and industrial equipment. You will analyze sensor data to identify potential failures and improve equipment performance.

Responsibilities include creating Python scripts, analyzing vibration, temperature, and pressure data, applying basic machine learning, and producing reports and visualizations to communicate results to

Formación

• Bachelor's degree in Mechanical Engineering, Mechatronics, Computer Science, Data Science, or a related field.
• 2+ years of Python programming experience.
• Knowledge of Pandas, NumPy, and data analysis.
• Basic understanding of machine learning and predictive analytics.
• Understanding of mechanical systems and equipment.
• Knowledge of time-series data and signal processing is preferred.
• Engine or industrial equipment experience is a plus.

Responsabilidades

• Develop Python scripts to analyze equipment and sensor data.
• Analyze vibration, temperature, and pressure data.
• Identify equipment abnormalities and predict potential failures.
• Use data analytics and basic machine learning techniques.
• Work with Python libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
• Perform signal processing and frequency analysis (FFT).
• Create reports and visualizations to communicate results.

Conocimientos

Python programming

Data analysis

Time-series data

Educación

Bachelor's degree in Mechanical Engineering, Mechatronics, Computer Science, Data Science, or a related field

Herramientas

Pandas

NumPy

SciPy

Scikit-learn

FFT

Descripción del empleo

We are looking for a Python Developer with mechanical engineering knowledge to develop predictive maintenance solutions for engines, pumps, and industrial equipment. The candidate will analyze equipment sensor data to identify potential failures and improve equipment performance.

Responsibilities

• Develop Python scripts to analyze equipment and sensor data.
• Analyze vibration, temperature, and pressure data.
• Identify equipment abnormalities and predict potential failures.
• Use data analytics and basic machine learning techniques.
• Work with Python libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
• Perform signal processing and frequency analysis (FFT).
• Create reports and visualizations to communicate results.

Requirements

• Bachelor's degree in Mechanical Engineering, Mechatronics, Computer Science, Data Science, or a related field.
• 2+ years of Python programming experience.
• Knowledge of Pandas, NumPy, and data analysis.
• Basic understanding of machine learning and predictive analytics.
• Understanding of mechanical systems and equipment.
• Knowledge of time-series data and signal processing is preferred.
• Engine or industrial equipment experience is a plus.