Date: Oct 16, 2020
Our Exciting Opportunity:
Machine Intelligence, the combination of Machine Learning and other Artificial Intelligence technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry. We develop state of the art solutions that simplify and automate processes in our products and services and build new value through data insights. Ericsson is now looking for AI Product Manager to significantly expand its global team for AI acceleration in Santa Clara CA. Interested to learn more, please apply!
In this role, you will:
Develop following deliverables in Collaboration with Business Line Owners, Global AI Accelerator (GAIA) team of Data Scientists and Data Engineers
Precise definition of business problem with relevant business metrics needed to make successful business case for AI/ML applications
Translating Business problem into Data science problem definition
Detailed solution Requirements for Data access and Data comprehension in compliance with Regulatory and Contractual obligations
Detailed requirements for vital tooling and instrumentation of the target production environment to life-cycle manage AI/ML modules
Detailed description of the AI/ML deliverables for building Intelligence Application
Strategic asset creation from engagement to bootstrap self-service AI/ML design, development and life cycle management platform
To be successful in the role you must have:
MS in CS/EE or MBA
Deep understanding of 4G-LTE RAN, EPC and Sgi-LAN per 3GPP Specifications
Carrier grade solution design and/or management experience in Mobile Service Provider setting
Understanding of Machine learning and Deep learning
You also have:
Mobile Data Service planning and Operations expertise at Tier-1 Telecom Service provider, Telecom vendor or System integrators
End-to-End Mobile Data Application design and development over 4G-LTE, 5G and OSS/BSS domains
Solid exposure to Cloud native design patterns and virtualization of Telecom Networks
Machine Learning and Deep Learning applicability to Networking domain in general and Telecom services in particular
Experience with mentoring, building teams and collaborating.
Whats in it for you?
Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds - you will be redefining it. You won't develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.
What happens once you apply?
To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process
Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.
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