Job Details

ID #12194393
State California
City Sanfrancisco
Job type Not Specified
Salary USD $1 per hour 1 per hour
Source Collabera
Showed 2021-04-13
Date 2021-04-08
Deadline 2021-06-07
Category Et cetera
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SDET (Scripting Engineer)

California, Sanfrancisco, 94080 Sanfrancisco USA

Vacancy expired!

Client: Collabera (

https://en.wikipedia.org/wiki/Collabera

)

Title: Engineering Manager (AI/Machine Learning)

Location

:

Remote to begin then any nearby Collabera office (EST Time Zone) We are looking for an exceptional Engineering Manager with experience leading teams responsible for building and operating large-scale distributed services. And wants to use that experience to lead a team responsible for designing, building, and running a scale platform designed for machine learning and is critical to the success of machine learning /AI engineers. In this role, you will define objectives for key products in the Machine Learning Platform, own the technical roadmap for a product, be accountable for delivering on results and making our machine learning customer. You will do this by growing and developing a diverse engineering team, coaching engineers to grow and become technical leaders. You will define standards for engineering and operational excellence for running tier-1 services and hold your team accountable to this bar. You will partner with other product leaders to continue to improve the MLPT product offers so that the pace of machine learning innovation. You will continue to lead with deep technical expertise

Key Qualifications:Successful candidates have:
  • Delivered services with measurable impact on internal or external customers
  • Influenced product and technical direction by being a customer advocate
  • 8+ years experience building production services in a distributed computing environment
  • Deployed mission-critical services with high reliability and available
  • Driven projects from inception to production
  • An understanding of distributed system concepts (such as transactions and consensus) in practice
  • Ability to present and communicate complex technical concepts clearly
  • Experience with partnering with other technical stakeholders
  • Demonstrated technical leadership through influence and mentoring
  • In-depth experience building solutions using public clouds (Azure, AWS, Google Cloud Platform)
  • Experience leading teams through building and operating large-scale services

Description:Ideal candidates are:
  • Comfortable working in earlier stages of product development with ambiguous requirements
  • Have experience and in-depth knowledge of open source distributed systems such as Hadoop, Spark, Zookeepr, etcd, Cassandra, Kubernetes
  • Have 2+ more years of experience leading teams

SDLC,SDLC - AGILE Other,qa,quality assurance,testing,manual testing,automation testing,python,javascript,script,scripting,machine learning ,artificial intelligence,AI,ML

Vacancy expired!

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