Machine Learning Architect (AWS)

Posted:
1/14/2025, 11:20:15 PM

Location(s):
Los Angeles, California, United States ⋅ San Diego, California, United States ⋅ Irvine, California, United States ⋅ California, United States ⋅ San Francisco, California, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Remote

We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are specifically looking for a Machine Learning Architect with experience in cloud (AWSpreferred) who is passionate about helping customers build AI/ML solutions at scale. Being an experienced technologist with technical depth and breadth, aided with strong interpersonal skills, you will work directly with customers as part of a delivery team, helping to enable innovation by creating state of the artMachine Learning solutions that align to business goals.  
 
This role includes responsibilities both as a Professional Services Machine LearningArchitect and as a hands-onMachine Learning engineer on customer engagements. 
 
The qualified Machine Learning Architect will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in complex situations, develop solution strategies, motivate & mobilize resources, and deliver results. The ability to connect technology with measurable business value is a critical component to be successful in this role. We seek team members who are self-motivated, driven, collaborative, passionate about machine learning, and want to have a direct positive impact on our customer's business. Strong communication skills and emotional intelligence are also needed to help develop a team that works with you. 
 
Work Location: Remote 

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Rackspace

Website: https://www.rackspace.com/

Headquarter Location: San Antonio, Texas, United States

Employee Count: 1001-5000

Year Founded: 1998

IPO Status: Public

Last Funding Type: Private Equity

Industries: Big Data ⋅ Cloud Computing ⋅ Cloud Infrastructure ⋅ IaaS