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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; Canadian Rackers: 100% remote only from these provinces... Ontario, Quebec, British Columbia and Alberta.
Disover your inner Racker: Racker Life
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.
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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What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
