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. Senior AI/ML Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core components to solve customer issues. They also work with their teammates such as AI/ML Engineers and Application Developers to bring these solutions to a production-ready level. You will be supporting Canadian Public Sector projects in this role. Key Responsibilities Accurately 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 candidate AI/ML services and algorithms. Work with specialist roles in related technical fields to build and verify ML solutions, and help develop an architecture that combines the necessary AWS services for achieving the customer's goals. Assist customers 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 customers. Collaborate with ML Engineers, Cloud Architects, and Application Developers to build a production-ready ML or GenAI solution. Work 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 Strands-Agents, PyTorch, and Transformers. Basic Qualifications Experience with AWS or cloud technologies 5+ years of experience as a data scientist or ML Engineer with experience building ML models and GenAI systems Ability to obtain Canadian federal security clearance, or valid Secret or Top Secret clearance For Quebec location: fluency in French and English is required Preferred Qualifications Experience developing experimental and analytic plans for data modeling processes Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers Experience consulting with customers on their AI and GenAI needs Experience in building and maintaining MLOps systems, bringing models to production, and running data science development environments Knowledge/experience of data governance principles and practices Knowledge/experience of data consumption, visualization, and reporting 5+ years of experience as a data scientist or ML Engineer with experience building ML models and GenAI systems. Experience with AWS or cloud technologies. Ability to obtain Canadian federal security clearance. Fluency in French and English required for Quebec-based candidates. #J-18808-Ljbffr