AI/ML Consultant, AWS Professional Services

AI/ML Consultant, AWS Professional Services Job ID: | Amazon Web Services Australia Pty Ltd - D81AWS Global 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. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.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? Do you want to help develop enterprise use cases using Amazon Web Services (AWS) ML and GenAI services? 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.AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. We are focused on customer obsession and take pride in partnering with our customers to achieve success. If you have experience building ML or GenAI solutions, we encourage you to join us. We are constantly innovating at AWS, and look forward to working with great teammates and helping our customers together.AI/ML Consultants understand customer business issues, dig deep into relevant data, analyse it, identify the root cause, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core components to solve the customer issues. They also work with teammates such as ML Engineers, Application Developers, and Cloud Architects to bring the solution to a production‑ready level. They combine services and related technologies to present optimal solutions to customers and support their realisation. They are passionate about setting innovative goals and providing technical solutions to achieve them. We welcome candidates who are always eager to learn new things and want to innovate together with customers in the world of ML and GenAI.Key job responsibilitiesAccurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.Extract the IT requirements necessary to realise the business requirements and select suitable 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 customer's goals.Assist customers in 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 Architects, and Application Developers to build a production‑ready 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 machine learning and GenAI frameworks such as Strands‑Agents, PyTorch, Transformers, etc.About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Basic QualificationsBachelor’s degree or equivalent experience in fields such as computer science, machine learning, operations research, statistics, or mathematics.Experience as a machine learning engineer or data scientist with experience building ML models and prompting GenAI models.Strong communication skills to work collaboratively with clients and related teams across various roles.Experience with AWS or similar cloud technologies.Preferred QualificationsMaster’s degree in computer science, machine learning, operations research, statistics, mathematics, or other fields.Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers.Skills in creating experimental and analytical plans for data modelling processes, and the ability to accurately determine cause‑and‑effect relationships using baselines.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.IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Amazon is committed to supporting applicants with disabilities. If you need accommodations or adjustments during the application or hiring process, including support for the interview or onboarding process, please contact your recruiting partner.#J-18808-Ljbffr