Rackspace
Machine Learning Architect (AWS) - Canada
Job Summary
This role involves designing and executing end-to-end machine learning projects on cloud platforms such as AWS, Azure, or GCP. The candidate will work closely with customers to understand their needs, develop technical solutions, and deploy models into production using state-of-the-art techniques. Responsibilities include solution architecture, data annotation, model development, and maintaining strong client relationships. The position requires extensive experience in machine learning, cloud computing, and good communication skills to bridge technical concepts with business value.
Required Skills
Benefits
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
- 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.
- 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.
- As per business requirements
- This role is not sponsorship eligible
- Candidates need to be legally allowed to work in Canada for any employer
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 jobsSafe 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.