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Join to apply for the Scientifique senior des donnes / Senior Data Scientist, ProServe Shared Delivery Team - Data & AI role at Amazon Web Services (AWS) Continue with Google Continue with Google 2 days ago Be among the first 25 applicants Join to apply for the Scientifique senior des donnes / Senior Data Scientist, ProServe Shared Delivery Team - Data & AI role at Amazon Web Services (AWS) Get AI-powered advice on this job and more exclusive features. Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Description Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? Would you be excited to apply AI algorithms to solve real world problems with significant impact? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Data Scientist to help customers implement AI / ML solutions and realize transformational business opportunities. This is a team of scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine-tune the right models, define paths to navigate technical or business challenges, develop scalable solutions and applications, and launch them in production. The team provides guidance and implements best practices for applying AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Were looking for Senior Data Scientists capable of using AI / ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an experienced Senior Data Scientist, you will be responsible for : Lead end-to-end AI / ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring Collaborate with AI / ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges Interact with customers directly to understand the business challenges, deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders Provide customer and market feedback to product and engineering teams to help define product direction This is a customer-facing role with potential travel to customer sites as needed. About The Team AWS 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. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. 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, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work / Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve. Basic Qualifications 5+ years of building machine learning models for business application experience 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production 5+ years of experience with cloud services related to machine learning (e.g., Amazon SageMaker) 5+ years of technical customer-facing engagement experience, and strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Strong verbal and written communication skills in both French and English if the candidate is located in Quebec. Since this role requires the employee to interact with other Amazon entities globally, as well as with employees and stakeholders in other Canadian provinces, knowledge of both French and English is required for this position if the candidate is located in Quebec. Preferred Qualifications PhD in a highly quantitative field (e.g., Computer Science, Machine Learning, Operational Research, Mathematics); or masters degree with 7+ years of experience AWS Professional level certifications (e.g., Solutions Architect Professional, Machine Learning Specialty) preferred; proficiency in a wide range of other AWS services (e.g., EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation), and experience building AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open-source frameworks like LangChain, LangGraph, LlamaIndex, and / or similar tools 5+ years of deep learning, natural language processing, computer vision algorithm implementation experience using PyTorch and TensorFlow and experience in leveraging GPUs for model development Experience in translating business requirements into scalable AI / ML solutions with a proven record of impact with senior leadership (Director, C-level, and VP) decision-making; scientific thinking and the ability to invent, a track record of thought leadership and contributions in recognized ML journals or conferences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit : / / amazon.jobs / content / en / how-we-hire / accommodations for more information. If the country / region youre applying in isnt listed, please contact your Recruiting Partner. The base salary for this position ranges from $143,200 / year up to $239,100 / year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. Applicants should apply via our internal or external career site. Company - Amazon Web Services Canada, Inc. Job ID : A2999984 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Research, Science, and Engineering IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Get notified about new Senior Data Scientist jobs in Toronto, Ontario, Canada . 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