Machine Learning Architect (AWS)

Posted 5 Days Ago
5 Locations
Remote
Senior level
Cloud • Information Technology • Software
The Role
Design and implement machine learning solutions on cloud platforms, engage with customers to define requirements, and oversee project delivery from inception to deployment.
Summary Generated by Built In

We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) 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 art Machine Learning solutions that align to business goals.  

 

This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine 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 

Key Responsibilities:

  • Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models.  
  • Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed. 
  • Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training.  
  • Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs. 
  • Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems.  
  • Establish credibility by demonstrating technical excellence and delivering value through solutions you build.  Develop strong relationships with our customers. 

Qualifications:

  • Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning. 
  • Minimum 5+ years of experience architecting and building Machine Learning solutions. 
  • Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).  
  • Experience building ML models and strong knowledge of ML techniques is required.  
  • Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs. 
  • Strong coding experience in Python and architectural patterns like microservices. 
  • Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment.  
  • Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project. 
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. 

Travel:

  • As per business requirements


#LI-VM1

#LI-Remote

#LI-USA

#rackspace

Top Skills

AWS
Azure
GCP
Hugging Face
Python
PyTorch
TensorFlow
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The Company
HQ: San Antonio, TX
7,509 Employees
On-site Workplace
Year Founded: 1998

What We Do

At Rackspace Technology, we accelerate the value of the cloud during every phase of digital transformation. By managing apps, data, security and multiple clouds, we are the best choice to help customers get to the cloud, innovate with new technologies and maximize their IT investments. As a recognized Gartner Magic Quadrant leader, we are uniquely positioned to close the gap between the complex reality of today and the promise of tomorrow. Passionate about customer success, we provide unbiased expertise, based on proven results, across all the leading technologies. And across every interaction worldwide, we deliver Fanatical Experience TM — the best customer service experience in the industry. Rackspace has been honored by Fortune, Forbes, Glassdoor and others as one of the best places to work.

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