Machine Learning Architect

2 days ago Be among the first 25 applicants This range is provided by Rackspace Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range 153,000.00 / yr - $244,700.00 / yr 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 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. 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. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology IT Services and IT Consulting Referrals increase your chances of interviewing at Rackspace Technology by 2x Get notified about new Software Architect jobs in Ottawa, Ontario, Canada . Software Architect - Containers / Virtualisation Software Architect - Containers / Virtualisation Software Engineer - Solutions Engineering Software Engineer I (Consumer Servicing) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Solutions Engineering Software Engineer - Cross-platform C++ - Multipass We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr