Machine Learning Architect (AWS) - Canada
RackspacePosted 4/24/2025
Machine Learning Architect (AWS) - Canada
Rackspace
Job Location
Salary Range
153k - 245k USD / YEAR
Job Summary
We are seeking an experienced Machine Learning Architect with expertise in cloud (AWS preferred) to join our team of motivated technologists. As a Machine Learning Architect, 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 with business goals. You will be responsible for designing machine learning solutions and executing 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. We value self-motivation, driven collaboration, passion for machine learning, and a direct positive impact on our customers' business. With flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company, we offer a unique opportunity to thrive. Apply now and help us shape the future of AI!
Job Description
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
$153,000 - $244,700 a year
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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.
