Senior Delivery Consultant- GenAI/ML, AWSJob ID: 2950965 | AWS EMEA SARL (Italy Branch)Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. At ProServe we help AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data architects, data scientists, ML engineers working step-by-step with customers to build solutions that harness the power of generative AI.Key Job ResponsibilitiesAs an experienced technology professional, you will be responsible for:Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needsProviding technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML servicesCollaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategiesActing as a trusted advisor to customers on industry trends and emerging technologiesSharing knowledge within the organization through mentoring, training, and creating reusable artifactsBASIC QUALIFICATIONS5+ years of cloud based solution (AWS or equivalent), system, network and operating system experienceBachelor's degree in computer science, engineering, mathematics or equivalentExperience in software development with object oriented languageDemonstrated experience in hosting and deploying GenAI/ML solutions in production (e.g., for training, fine tuning, and inferences)PREFERRED QUALIFICATIONSAWS Professional level certificationMasters or PhD degree in computer science, or related technical, math, or scientific fieldStrong working knowledge of deep learning, machine learning and statisticsExperience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed trainingStrong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-expertsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.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 here for more information.
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