Delivery Consultant

Delivery Consultant - Machine Learning (GenAI), ProServe SDT NorthJob ID: | AWS EMEA SARL (Denmark Branch) - G83The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key Job ResponsibilitiesDesigning and implementing complex, scalable, and secure AWS solutions tailored to customer needsProviding technical guidance and troubleshooting support throughout project deliveryCollaborating with stakeholders to gather requirements and propose effective migration strategiesActing as a trusted advisor to customers on industry trends and emerging technologiesSharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the teamDiverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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: Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve.Basic QualificationsBachelor’s degree in Computer Science, Engineering, related field, or equivalent experience3+ years experience in the industry as an ML practitioner with hands‑on implementation of ML systems; building, validating and deploying GenAI models7+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C#Strong understanding of DevOps practices with practical hands‑on application and strong interest in AI/ML solutionsStrong verbal and written communications skills and ability to lead effectively across organizationsPreferred Qualifications3+ years technical experience preferred; knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti‑patterns3+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardwareServing ML models through real‑time APIs and experience with deploying production‑grade machine learning solutions on public cloud platformsKnowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etcAmazon 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 to know more about how we collect, use and