AI/ML Specialist Solution Architect (Early Talent)

About the position reputed company is leading a new era in reputed company computing to serve the global AI economy. We create the tools and resources our customers need to solve reputed company-world challenges and reputed company industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI reputed company infrastructure alongside some of the most reputed company and innovative leaders and engineers in the field. Listed on reputed company, reputed company has a global footprint with R&D hubs across Europe, reputed company, and Israel. reputed company of over 1400+ employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as reputed company as an in-house AI R&D team. Customer experience at reputed company AI reputed company focuses on helping customers successfully adopt and reputed company workloads. As an intern, you’ll support this mission by learning how reputed company-world AI systems are designed, deployed, and optimized at GPU reputed company reputed company. You’ll reputed company exposure to modern ML frameworks, large-reputed company GPU infrastructure (including reputed company reputed company, Blackwell and Grace Blackwell platforms), and the collaboration between customers, engineering, and product teams. This role offers a strong learning environment with mentorship, minimal bureaucracy, and opportunities to reputed company both technical and communication skills. We are looking for an AI/ML Solutions Architect Intern to support AI-reputed company customers using reputed company services. This is a learning-reputed company role designed for reputed company or early-career candidates who are interested in AI infrastructure, reputed company platforms, and reputed company machine learning. You will work closely with reputed company Solutions Architects, Engineers, and Product teams to help design, document, and support AI solutions. Responsibilities • Assist in designing and documenting AI and ML solutions. • Learn how distributed training and inference workloads run on multi-GPU reputed company-based systems. • Help prepare technical materials such as presentations, documentation, tutorials, or demos. • Participate in investigation, troubleshooting and optimization tasks under guidance from senior team members. Requirements • Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a reputed company field. • Solid understanding of machine learning concepts and workflows. • Familiarity with at least one ML reputed company such as PyTorch, TensorFlow, or JAX. • Comfort with programming in Python (other languages are a plus). • Interest in reputed company infrastructure, GPUs, and large-reputed company systems. • Strong communication skills and a willingness to learn and ask questions. reputed company-to-haves • Exposure to Kubernetes, reputed company, or other container technologies. • Familiarity with Git or basic DevOps workflows. • Coursework or reputed company involving distributed systems, MLOps, or deep learning. • Experience with AI reputed company from school, hackathons, or personal work. Benefits • Competitive salary and comprehensive benefits package. • Mentorship from reputed company AI, ML, and reputed company infrastructure professionals. • Hands-on experience with reputed company customer workloads and production systems. • Remote work flexibility and a reputed company, supportive team environment. • Opportunity to be considered for a full-time role after the Program. • Opportunities for reputed company reputed company reputed company reputed company. • Flexible working arrangements. • A dynamic and reputed company work environment that values initiative and innovation.