Machine Learning Architect • Senior

Who you are

You are an experienced Machine Learning Architect with a strong background in cloud technologies, particularly AWS. You have a proven track record of delivering results in technology consulting and are passionate about helping customers build AI and machine learning solutions at scale. Your technical depth and breadth are complemented by strong interpersonal skills, allowing you to work effectively with clients and team members alike.

You possess the ability to think strategically about business needs and can create technical definitions around customer objectives in complex situations. Your experience includes developing solution strategies, motivating and mobilizing resources, and delivering measurable results. You are self-motivated and driven, with a collaborative spirit that fosters innovation and positive impact on customer businesses.

What you'll do

In this role, you will serve as both a Professional Services Machine Learning Architect and a hands-on Machine Learning engineer on customer engagements. You will work directly with clients to understand their needs and help them implement state-of-the-art machine learning solutions that align with their business goals. Your responsibilities will include creating technical definitions, developing solution strategies, and ensuring that the solutions you design deliver measurable business value.

You will collaborate with cross-functional teams to enable innovation and drive the successful implementation of AI/ML projects. Your role will also involve mentoring junior team members and sharing your expertise in machine learning and cloud technologies. You will be expected to maintain strong communication with clients, ensuring that their expectations are met and that they are satisfied with the solutions provided.

What we offer

At Rackspace, you will be part of a dynamic team that values innovation and collaboration. We offer a flexible remote work environment that allows you to balance your professional and personal life. You will have the opportunity to work on cutting-edge technologies and contribute to impactful projects that shape the future of AI and machine learning.

We encourage you to apply even if your experience doesn't match every requirement. We believe in fostering a diverse and inclusive workplace where everyone can thrive and grow. Join us in making a difference in the world of technology and helping our customers achieve their goals.