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
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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
Sponsorship
- This role is not sponsorship eligible
- Candidates need to be legally allowed to work in Canada for any employer
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$153,000 - $244,700 a year
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Rackspace
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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.
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