Machine Learning Architect - AWS

April 24

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Rackspace Technology

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SaaS • Cloud

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• 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

🎯 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.

🏖️ Benefits

• As per business requirements