Backend Data Engineer

Position : Backend Data Engineer - Java and Python

Location : Dearborn, MI

JOB DESCRIPTION :

As a Software Engineer at

• Motor Company working in the In-Vehicle Infotainment, you will have the responsibility of designing and developing Artificial Intelligence (AI) Systems for Software Quality and Warranty. In this role, you will lead the development and maintenance of AI and machine learning algorithms to measure and identify for the performance of Infotainment systems. You will own delivery of highly stable and high-quality product. Our infotainment systems must be equipped to handle the use cases of today and those of tomorrow. Our ambitions reach well beyond existing solutions, and we are in search of innovative individuals to join this team. Ideal candidates will have experience in artificial intelligence and machine learning and big data analytics and delivering such a trained system. Candidate should have excellent interpersonal and communications skills. Success in this role requires someone who is centered around product and engineering excellence with a bias for action; thrives in a fast-paced, dynamic environment; successfully partners with a wide group of people at multiple levels of the company; and embodies our practices for diverse teams.

Skills Required :

Bachelor's degree in computer science, electrical engineering, mathematics, statistics, operations research, or related field

Experience with the complete software lifecycle for embedded systems

Demonstrated contributions and expertise in two or more of the following domains :

Regression algo for interpolation and extrapolation (both linear / non-linear)

Time series analysis and statistics, autoregressive models, filtering algorithms

Gaussian processes and / or kernel methods, Bayesian statistics

Modeling with different neural network architectures : MLP, CNN, RNN

Quantitative model performance assessment using cross-validation, blind testing.

Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling) Uncertainty quantification and propagation for time series analysis and forecasting

PyTorch and TensorFlow

Skills Preferred :

Experience Required :

Education Required :

Education Preferred :

Doctorate in computer science, mathematics, statistics, operations research, or related field AND

2 year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

Master's degree in computer science, mathematics, statistics, operations research, or related field

3 year(s) data-science o OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field

5 year(s) data-science experience