Machine Learning Architect AWS

Rackspace Technology; Remote; CAD 209,000 - 335,000; Full time

Job summary

A leading multicloud solutions provider is seeking a Machine Learning Architect to help customers build AI/ML solutions. The ideal candidate will have over 10 years of experience in machine learning, expert knowledge of AWS Cloud, and the ability to develop innovative solutions. The position is fully remote for residents in Alberta and offers a competitive salary ranging from $153,000 to $244,700 per year. Join a company that values diverse perspectives and continuous innovation.

Qualifications

• 10+ years of experience in machine learning and deep learning.
• Ability to architect and develop machine learning solutions.
• Solid understanding of agile methodologies.

Responsibilities

• Design and execute end-to-end machine learning projects.
• Work with business representatives to understand project requirements.
• Be responsible for all project phases from definition to deployment.

Skills

Machine learning expertise

Natural Language Processing (NLP)

Deep learning

AWS Cloud

Python coding

Education

Master’s degree in computer science or related field

Tools

TensorFlow

PyTorch

Hugging Face

Job description

Overview

We’re looking for a Machine Learning Architect with experience in the AWS Cloud. The right candidate must be passionate about helping customers build AI/ML solutions. You’ll work directly with customers as part of a delivery team, helping to enable innovation by creating state-of-the-art Machine Learning solutions which align with business goals.

Work Location

Work Location; Canadian Rackers: 100% remote only from these provinces... Ontario, Quebec, British Columbia and Alberta.

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 customers’ problems.
• Establish credibility by demonstrating technical excellence and delivering value through solutions you build.
• Develop strong relationships with our customers.
• Create technical definitions around customer objectives in complex situations.
• Develop solution strategies.
• Motivate & mobilize resources and deliver results.

Qualifications

• Master’s degree in computer science or related field of study.
• 10+ years of experience in machine learning, natural language processing (NLP), and deep learning.
• Ability to architect and build machine learning solutions.
• Excellent technical knowledge of AWS Cloud.
• Experience with hugging face, TensorFlow/Pytorch, transformer architectures, prompt engineering, agentic systems, and LLMs.
• Ability to code in Python and architectural patterns like microservices.
• Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment.
• Excellent communication and presentation skills using the English language.

Salary: $153,000 - $244,700 a year

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

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