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Machine Learning Architect (AWS) Rackspace. We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are specifically looking for a Machine Learning Architect with experience in cloud (AWSpreferred) 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 artMachine Learning solutions that align to business goals.  .  . This role includes responsibilities both as a Professional Services Machine LearningArchitect and as a hands-onMachine 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. $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.. #LI-VM1. #LI-Remote. #LI-USA. #rackspace