…cost-optimized. - Work with AWS field sales, training, and support teams to ensure customer success. - Drive customer feedback to product and engineering teams, distilling…

…trade-offs across engineering teams, representing benefits and challenges of each approach - Partner with science and engineering teams to integrate ML/AI capabilities into…

…our best engineering. - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience…

…Apply AI/ML technologies (generative AI, LLMs) to data engineering use cases - Skilled at designing and building internal tools, APIs, or software applications that…

…Data Infrastructure - Build data pipelines, and identify novel data sources to leverage in analytical work - both from within Alexa and from cross Amazon - Acquire…

…Infrastructure deployments environment promotion, and automated deployments; champion engineering standards and code reviews. Required qualifications, capabilities, and skills: Formal training or certification on software…

…Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness…

…As a Software Engineer who has deep systems thinking to design, build, and enhance scalable and highly concurrent ML and AI serving platform. Knowledge…

…10+ years of overall experience in software engineering and product development , with a specialized focus in one of two tracks: The AI/ML Focus…

…Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This…

…Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This…

…Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This…

…Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. This role will be critical in building, optimizing…

…Beyond standard support and troubleshooting, you will leverage AI tools and automation to drive efficiency, applying your engineering expertise to continuously upgrade and optimize…

…The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google…

…you design infrastructure for scale, correctness, and reliability. Collaborative: You thrive in cross-functional teams, partnering effectively with Product and Engineering to solve complex…

…Fivetran is seeking an exceptional Principal Software Engineer to lead our AI adoption initiative across the Engineering organization. This unique leadership role combines deep…

…Required Qualifications - BS, MS, or PhD in Computer Science, Computer Engineering or related field. - 12+ years building compiler, ML systems, or infrastructure software. - 5…

…systems and infrastructure for large software projects leveraging MongoDB. Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB…

…Qualifications 20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and delivery leadership roles. Proven experience in…

…a formal engineering technical leadership role, leading software engineering teams. 2 years of experience in LLM training or inference, including performance optimizations, distributed execution…

…5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years…

…As a Software Engineering Manager, you will lead the architecture and execution of large-scale ML infrastructure, requiring a deep understanding of Large Language…

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team…

…Experience with AI/ML Infrastructure and Large Language Models. Preferred qualifications: Master's degree in a technology or business related field. Experience leading technical…