Requirements: English
Company: Amazon
Region: Milan , Lombardy
Are you looking to work at the forefront of MachineLearning and AI? Would you be excited to apply Generative AIalgorithms to solve real world problems with significant impact?Machine learning (ML) has been strategic to Amazon from the earlyyears. We are pioneers in areas such as recommendation engines,product search, eCommerce fraud detection, and large-scaleoptimization of fulfillment center operations. At ProServe we helpAWS customers implement Generative AI solutions and realizetransformational business opportunities for AWS customers in themost strategic industry verticals. This is a team of dataarchitects, data scientists, ML engineers working step-by-step withcustomers to build solutions that harness the power of generativeAI. Key job responsibilities As an experienced technologyprofessional, you will be responsible for: - Designing,implementing, and building complex, scalable, and secure GenAI andML applications and models built on AWS tailored to customer needs- Providing technical guidance and implementation supportthroughout project delivery, with a focus on using AWS AI/MLservices - Collaborating with customer stakeholders to gatherrequirements and propose effective model training, building, anddeployment strategies - Acting as a trusted advisor to customers onindustry trends and emerging technologies - Sharing knowledgewithin the organization through mentoring, training, and creatingreusable artifacts- 5+ years of cloud based solution (AWS orequivalent), system, network and operating system experience -Bachelor''s degree in computer science, engineering, mathematics orequivalent - Experience in software development with objectoriented language - Demonstrated experience in hosting anddeploying GenAI/ML solutions in production (e.g., for training,fine tuning, and inferences)- AWS Professional level certification- Masters or PhD degree in computer science, or related technical,math, or scientific field - Strong working knowledge of deeplearning, machine learning and statistics - Experience related toAWS services such as SageMaker, Bedrock, EMR, S3, OpenSearchService, Step Functions, Lambda, and EC2 - Hands on experience withdeep learning (e.g., CNN, RNN, LSTM, Transformer), machinelearning, CV, GNN, or distributed training - Strong communicationskills, with attention to detail and ability to convey rigorousmathematical concepts and considerations to non-experts Amazon isan equal opportunities employer. We believe passionately thatemploying a diverse workforce is central to our success. We makerecruiting decisions based on your experience and skills. We valueyour passion to discover, invent, simplify and build. Protectingyour privacy and the security of your data is a longstanding toppriority for Amazon. Please consult our Privacy Notice(https://www.amazon.jobs/en/privacy_page) to know more about how wecollect, use and transfer the personal data of our candidates. Ourinclusive culture empowers Amazonians to deliver the best resultsfor our customers. If you have a disability and need a workplaceaccommodation or adjustment during the application and hiringprocess, including support for the interview or onboarding process,please visithttps://amazon.jobs/content/en/how-we-hire/accommodations for moreinformation. If the country/region youre applying in isnt listed,please contact your Recruiting Partner.