Head of AI Accelerator - Platforms

Job Description

Date: May 22, 2019

Our Opportunity:


Ericsson Global AI Accelerator (GAIA) is a unit that has been set up to accelerate our AI and Machine Learning offerings. This central unit is chartered with the responsibility of building a high-end competence center that brings together a team of high-end Data Scientists, Data Engineers, Software Engineers and Machine Learning Architects towards the goal of enhancing Ericsson’s products and services portfolio with AI capabilities.


We are currently looking for a Director of Data Science and Engineering to lead one of our Global AI Accelerator units – GAIA Platforms. The best candidate can be from any of our locations – Santa Clara (US), Montreal (Canada), Stockholm (Sweden), Bangalore/Chennai (India).


This position will report into the VP of Global AI Accelerator (GAIA) and be part of the unit’s leadership team, supporting, driving and leading strategic initiatives towards achieving the goals of the unit. As the head of one of the most important components of this Accelerator unit, this role has general and broad senior leadership scope with critical strategic deliverables and execution focus. This individual will also serve as a key member of the unit’s Think Tank, formulating its vision, mission, goals and driving day-to-day activities to realize them.


As a Leader, you will lead cross-geographical teams with cross functional responsibilities. You will also contribute to secure Ericsson’s technology leadership in the AI domain by way of creating differentiating assets as well as driving market leadership for our products. You will teach, coach, challenge and develop individuals, teams and organizations. You will foster a creative and learning culture. GAIA Platforms is an internal environment that is being built to accelerate Ericsson’s ML and AI development initiatives.


In this role, you will :


  • Outline and drive strategy for Ericsson’s internal ML/AI Development & Deployment Environment/Platform (Train, Evaluate, Deploy, Predict, Monitor)
  • Execute on designing, engineering, operating, enhancing and maintaining this environment
  • Recruit a high-quality team from external and internal sources to realize this ambition
  • Interact with and engage the user community (data scientists, data engineers, software engineers) to develop feature roadmap and build this environment
  • Establish a core system (underlying machinery/backbone) that ties together, operationalizes and exposes AI/ML systems (PyTorch, TensorFlow, etc) for easy consumption
  • Lead a team (evolve into more than one team) that develops and assembles this core system machinery, in close collaboration with data scientist users/developers 
  • Operations/SRE of platform elements at early stages in collaboration with infrastructure operations entities
  • Drive evolution of this core machinery to improve performance, resource efficiency and security
  • Build and cultivate an internal ecosystem and community of data science practitioners
  • Produce software assets, IPR, potentially contribute to open source, and external articles
  • Contribute to due diligence of potential partners, suppliers, M&A opportunities
  • Contribute to internal and external evangelism of Ericsson capability in AI/ML area; blog posts, training, documentation 
  • Lead and play an active role in selected GAIA projects, internal and external (open source)

You have:


  • Bachelors/Masters in Engineering from a global reputed educational institution. MBA or equivalent Post Graduate Diploma would be an added advantage
  • Broad experience from different functional areas
  • Domain experience in Data Science domain, one or more telecom areas like Radio, Cloud, OSS, BSS, etc.
  • Over 15 years of experience in Software Engineering and Product Development
  • Over 10 years of experience in leading/building Platforms & Infrastructure
  • Over 10 years of formal leadership experience and at least 5 years of formal 2nd line leadership experience
  • Experience with operating a global service and understanding the nuances of operating such a service substantially strengthen the candidature
  • Proven track record of having delivered market-leading products and solutions
  • Familiarity and understanding of the full Machine Learning development and deployment work-flow
  • Experience working with our locations (North America, Sweden, India) is a plus, experience of having worked in more than one of our locations is a huge plus
  • Experience with formulating product and technology strategies and concepts
  • Possesses sound technical knowledge across multiple domains and has excellent understanding of business matters. Ability to create plans to align technical strategies with business ambition
  • Strong ability to see the big picture and to focus on important details in a pragmatic and result oriented way with ability to challenge when needed
  • Proven ability to act at both the strategic and operational levels
  • Strong partnering skills, with the ability to work across all levels of the organization and across multiple countries, effectively collaborating with multiple stakeholders
  • Excellent people management skills to attract motivate and retain talent
  • Excellent communication skills
  • Experience with engaging with customers (internal and external)
  • Knowledge of well-known business practices in different domains
  • Coaching & Mentoring Skills
  • Negotiation Skills
  • Independent, self-motivated and well organized with an analytical mind
  • Demonstrably trustworthy (thru reference checks)
  • Strong sense of duty and initiative
  • Fluent spoken and written English is a mandatory requiremen




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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Primary country and city: United States (US) ||  || Santa Clara || Consulting&SysInt; ProdMgt

Req ID: 280957