Job Title

Description AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customers unique challenges, then craft innovative solutions that accelerate their success. This customerfirst approach is how we built the worlds most adopted cloud. Join us and help us grow. Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? Would you like to help major global companies develop new businesses using ML and GenAI? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI expertise to solve various business problems for our customers. Key Job Responsibilities Accurately understand the customer''s business challenges and needs, structure the problems, and organize them as business requirements. Extract the IT requirements necessary to realize the business requirements and select candidate AI/ML services and algorithms. In addition, you will work with specialist roles in related technical fields to build and verify ML solutions, as well as help develop an architecture that combines the necessary AWS services for achieving the customers goals. Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or GenAI solutions, deploying validated solutions on their supporting infrastructure, and providing training to our customers. Collaborate with ML Engineers, Cloud Architect and Application Developer to build a productionready ML or GenAI solution. Support the above by working with a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon Sagemaker, Amazon AgentCore), Git and Docker, as well as ML and GenAI frameworks such as StrandsAgents, PyTorch, Transformers, etc. A day in the life AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications Experience with AWS or cloud technologies. Bachelors degree or equivalent experience in fields such as machine learning, operations research, applied mathematics, engineering or natural science. 5 to 8 years of experience as a ML Ops engineer. Preferred Qualifications Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers. Skills in deploying MLOPS infrastructure and setting up platform components needed for Agentic and GenAI enterprise deployments. Experience consulting with customers (including user departments) on their AI and GenAI needs. Acknowledgement of Country In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. Equal Opportunity Employer Statement Amazon is an equalopportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr