<div><span> 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.  </span></div><div><span> </span></div><div><span>This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements. </span></div><div><span> </span></div><div><span>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 &amp; 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 customers business. Strong communication skills and emotional intelligence are also needed to help develop a team that works with you. </span></div><div><span> </span></div><div><b>Work Location: Remote</b><span> </span></div><h3>Key Responsibilities:</h3><ul><li>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.  </li><li>Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed. </li><li>Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training.  </li><li>Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs. </li><li>Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems.  </li><li>Establish credibility by demonstrating technical excellence and delivering value through solutions you build.  Develop strong relationships with our customers. </li></ul><h3>Qualifications:</h3><ul><li>Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning. </li><li>Minimum 5+ years of experience architecting and building Machine Learning solutions. </li><li>Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).  </li><li>Experience building ML models and strong knowledge of ML techniques is required.  </li><li>Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs. </li><li>Strong coding experience in Python and architectural patterns like microservices. </li><li>Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment.  </li><li>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. </li><li>Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. </li></ul><h3>Travel:</h3><ul><li>As per business requirements</li></ul><div><br /></div><div>#LI-RL1</div><div>#LI-Remote</div><div>#LI-USA</div><div>#rackspace</div>

Rackspace

Machine Learning Architect (AWS)

Rackspace