This job is no longer available

The job listing you are looking has expired.
Please browse our latest remote jobs.

See open jobs →
← Back to all jobs

Machine Learning Architect (AWS) - Canada

Added
19 days ago
Location
Type
Full time
Salary
$153K - $245K

Use AI to Automatically Apply!

Let your AI Job Copilot auto-fill application questions
Auto-apply to relevant jobs from 300,000 companies

Auto-apply with JobCopilot Apply manually instead
Save job

Machine Learning Architect (AWS) - Canada

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

Sponsorship

  • This role is not sponsorship eligible
  • Candidates need to be legally allowed to work in Canada for any employer

Salary & Benefits

Salary range: $153,000 – $245,000 USD per year

#LI-RL1
#LI-Remote
#Rackspace


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.

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.

Use AI to Automatically Apply!

Let your AI Job Copilot auto-fill application questions
Auto-apply to relevant jobs from 300,000 companies

Auto-apply with JobCopilot Apply manually instead
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Remote Data Jobs. Just set your preferences and Job Copilot will do the rest—finding, filtering, and applying while you focus on what matters.

Related Data Jobs

See more Data jobs →