Rackspace - Machine Learning Architect (AWS)
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Requirements
• 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. • $153,000 - $244,700 a year • The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY and WA. This information applies only to individuals working in these states. • The anticipated starting pay range for Colorado is: $153,000 - $204,000 • The anticipated starting pay range for Hawaii and New York (not including NYC) is: $167,400 - $223,200 • The anticipated starting pay range for California, New York City and Washington is: $183,500 - $244,700 • Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. • These discretionary payments are based on company and/or individual performance, and may change at any time. • Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. • Information on benefits offered is here.
Responsibilities
• 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.
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