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Scientist-Research Engineer (ML)

Dearborn, MI, US • Posted 9 hours ago • Updated 9 hours ago

Contract W2

1 Year

No Travel Required

On-site

$40 - $42/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

C++
Embedded Systems
MATLAB
Predictive Analytics
Machine Learning (ML)
Python
Simulink
Robotics
SQL
Embedded Software
Algorithms
Data Science
Predictive Modelling

Summary

Job Summary

We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL) for automotive applications.

Key Responsibilities

Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data.
Build machine learning and physics-informed models to analyze component health and degradation.
Process and analyze large datasets using Python, SQL, and cloud platforms.
Develop fault detection and anomaly detection solutions for vehicle systems.
Perform modeling and simulation using MATLAB/Simulink.
Collaborate with cross-functional teams to deploy solutions into production vehicles.
Support embedded software implementation in C++ environments.

Required Skills

Python
SQL
C++
Data Science & Machine Learning
MATLAB / Simulink
Algorithms & Statistical Analysis
Google Cloud Platform (Google Cloud Platform) or other cloud environments
Signal Processing (DSP)
Predictive Analytics & Prognostics

Required Qualifications

Master''s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or related field.
4+ years of experience applying statistical and machine learning techniques.
3+ years of experience with Python and SQL.
Experience with predictive modeling, sensor data analysis, and vehicle diagnostics.
Strong analytical and problem-solving skills.

Preferred Qualifications

PhD in a related technical field.
Experience in Automotive, Connected Vehicle, EV, Controls, Robotics, or Prognostics & Health Management (PHM).
Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems.
Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10109039
Position Id: 9046785
Posted 9 hours ago

Contact the job poster

Nizamuddin Tajudeen

Recruiter @ OpTech

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