Offer summary

Qualifications:

MS or PhD in Computer Science, Statistics, Physics, Applied Mathematics, or related field., Expertise in Digital Twin architecture within an IoT environment., Hands-on experience with Python, particularly with libraries like NumPy and SciPy., Strong understanding of Azure Machine Learning solutions and experience in the automotive or IoT engineering sectors..

Key responsibilities:

Lead the delivery of IoT solutions for a major automotive client.

Create predictive maintenance solutions leveraging Digital Twin expertise.

Design and code functional Proofs of Concept (POCs) while interacting directly with clients.

Manage and guide teams of Data Scientists and Engineers to successfully implement machine learning solutions.

Job description

Role: Machine Learning Architect- IoT and Digital Twin
Duration: 6-12 month contract (Extendable Long Term)
Location: Entirely Remote - USA and Canada (Some travel to Europe required after Covid is over)
W2 engagement, sorry no sponsorship or C2C!
Client Name :: Porsche (https://www.porsche.com/usa/)

BigR.io is a technology consulting firm empowering data to drive innovation and advanced analytics. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. We are an elite group with MIT roots, shining when tasked with complex missions. Whether it's assembling mounds of data from a variety of sources, surfacing intelligence with Deep Learning, or building high-volume, highly-available systems, we consistently deliver.
About the job
Do you view Machine Learning as a passion instead of just a job? If so, join our team of talented, high-caliber Data Scientists, Architects, and Engineers and work on the cutting-edge applications of Machine Learning.
Working as a lead Client Architect you will deliver cutting edge IoT solutions for a world-class engineering/manufacturing client in the automotive industry. By leveraging your Digital Twin expertise you will be creating predictive maintenance solutions and will be on the cutting edge of delivering the next generation of automotive solutions.

You have:
·       Digital Twin Architectural expertise in an IoT environment.
·       SME in one or more of the following areas: machine learning, signal processing, statistical modelling, time-series analysis, non-linear time series analysis, and/or optimization.
·       Hands-on skills with Python (NumPy, SciPy).
·       Experience working in the Automotive industry, or in an IoT engineering space (aerospace, manufacturing, etc.)
·       Strong understanding of Architecting Azure Machine Learning solutions, particularly Azure Digital Twin.
·       Created and engineered successful POC's directly for clients. We need someone skilled enough to design the model, code a functional POC and directly interact with the end client to prove our approach.
·       Led teams of Data Scientists and Engineers to a successful delivery of machine learning solutions.
·       MS or PhD in Computer Science, Statistics, Physics, Applied Mathematics or any related field.

Nice to have:
·       Agile/Scrum experience.
·       Bilingual- English and German or Spanish.

Required profile