FlexHired LogoFlexHired
Logo of Rackspace

Rackspace

Senior Artificial Intelligence Engineer - GCP - (Canada Remote)

Job Summary

The role involves designing and executing end-to-end machine learning solutions on GCP cloud platforms, from proof-of-concept to deployment. The candidate will work closely with customers to understand requirements, develop models, and deploy solutions while ensuring technical excellence and business value. Strong communication skills and experience in ML, DL, NLP, and related technologies are essential. Leadership in solution architecture, problem-solving, and collaboration is also important for success in this role.

Required Skills

Team Leadership
Python
Communication Skills
Problem Solving
Microservices
Solution Architecture
Machine Learning
Natural Language Processing
Deep Learning
Model Deployment
Model Development
ML Ops
Agile Methodology
Prompt Engineering
LLMs
Transformer Architectures
GCP Cloud

Benefits

Remote Work

Job Description

About the Role:


We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Senior Intelligence Engineer with experience in GCP cloud 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 as a hands-on Machine Learning engineer on customer engagements.

The qualified Senior Intelligence Engineer 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 GCP cloud platforms 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 8+ years of experience or PhD with 4+ 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 GCP cloud.
  • 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
  • Travel as per business requirements


Sponsorship
  • Candidate must be legally able to work for any employer in the US
  • This role is not sponsorship eligible



$126,000 - $203,000 a year
#LI-RL1
#LI-Remote


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.

Interested in this job?

Application deadline: Open until filled

Logo of Rackspace

Rackspace

As a cloud computing services pioneer, we deliver proven multicloud solutions across your apps, data, and security. Maximize the benefits of modern cloud.

See more jobs
Date PostedJuly 1st, 2025
Job TypeFull Time
LocationRemote - Canada - Remote
Salary$126,000 - $203,000
Exciting remote opportunity (requires residency in Canada) for a Senior Artificial Intelligence Engineer - GCP - (Canada Remote) at Rackspace. Offering $126,000 - $203,000 (full time). Explore more remote jobs on FlexHired!

Safe Remote Job Search Tips

Verify Employer Thoroughly

Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.

Never Pay to Get a Job

Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.

Safeguard Your Personal Information

Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.

Scrutinize Communication & Interviews

Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.

Beware of Unrealistic Offers

If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.

Insist on a Formal Contract

Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.

Related Jobs

Full Time
$138,000 - $224,000
Remote - Canada - Remote

Subscribe Newsletter

Never miss a remote job opportunity. Subscribe to our newsletter today and receive exclusive job alerts, career advice, and industry insights delivered straight to your inbox.