Machine Learning Architect (AWS
Rackspace Technology
About the role
About
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. As 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.
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.
- Work directly with business representatives/customers to understand the requirements driving the need for a solution.
- Own all phases of the project: problem definition, data annotation, model development, model deployment, and 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 customers’ problems.
- Establish credibility by demonstrating technical excellence and delivering value through solutions you build.
- Develop strong relationships with customers.
Qualifications
- Master's degree 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.
- 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 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.
Skills
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