Product Designer (W2 Position) 318895

Position: Product Designer (W2 Position) 318895 Location: Dearborn MI (Hybrid- 3 days) Duration: 12+ Months MOI: Phone & WebEx Direct Client: FORD MOTORS

Note: 1. U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are NOT ABLE to sponsor H1-B at this time. - H1B Consultant who are willing to WORK ON OUR W2 (H1B TRANSFER) are welcome

"Position Description:
As a Software Engineer at Ford 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
Strong technical writing and oral communication skills
Demonstrated contributions and expertise in two or more of the following domains: o Regression algo for interpolation and extrapolation (both linear / non-linear)
o Time series analysis and statistics, autoregressive models, filtering algorithms
o Gaussian processes and/or kernel methods, Bayesian statistics o Modeling with different neural network architectures: MLP, CNN, RNN
o Quantitative model performance assessment using cross-validation, blind testing.
o Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)
o Uncertainty quantification and propagation for time series analysis and forecasting.

Skills Preferred:
Defines problem, devise solution and delivery roadmap across future milestones, including staging technologies; builds strategies that optimizes project resources against priorities. Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.) Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends. Apply AI and Machine Learning technics to predict and solve complex, real-world problems. Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely. Fulfill problem formulation and ML technique consulting requests in a timely manner. Communicate and present analytical models to other teams and executive management. Work collaboratively with different software stakeholders and be able to present results in a clear and concise manner. Ensures delivery of stable software with the expected quality and stability managing the software development schedule and backlog.
Experience Required:
3+ years of experience with delivering and maintaining production software products.
Experience Preferred:
0
Education Required:
Bachelor s degree in computer science, electrical engineering, mathematics, statistics, operations research, or related field
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) o OR Master s degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science o OR bachelor s degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information :
***POSITION IS HYBRID (3 days a week in Dearborn)*** ***hacker rank on Python including PyTorch and TensorFlow packages***"

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