About The Position
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 customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? 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. 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. 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 component to solve the 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. They are passionate about setting innovative goals and providing technical solutions to achieve them. You will be supporting Canadian Public Sector projects in this role.
Requirements
- 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.
- Only applicable for Quebec location: fluency in French and English is required due to the nature of the role that requires interaction with other Amazon entities globally and with Amazon employees and stakeholders in other provinces in Canada.
Nice To Haves
- Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related field.
- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers
- Experience consulting with customers (including user departments) 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 consumptions, visualization and reporting
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. 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 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 production ready ML or GenAI solution
- To support the above, you will 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 with a range on Ml and GenAI framework such as Strands-Agents, pytorch, transformers, etc.
Benefits
- health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
- Registered Retirement Savings Plan (RRSP)
- Deferred Profit Sharing Plan (DPSP)
- paid time off
- other resources to improve health and well-being
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What This Job Offers
Job Type
Full-time
Career Level
Senior
