Predictive Maintenance Engineer - Python & Mech

Pentangle Tech Services | P5 Group; Virginia Beach (VA); On-site; USD 85,000 - 110,000; Full time

Job summary

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

Qualifications

• 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.

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.

Skills

Python programming

Data analysis

Time-series data

Education

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

Tools

Pandas

NumPy

SciPy

Scikit-learn

FFT

Job description

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