Senior Delivery Consultant

Senior Data Science Consultant AWS Professional Services As a Senior Data Science & AI Consultant in AWS Professional Services, you will lead the delivery of cutting‑edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Generative AI, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.Key job responsibilities:Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre‑production deployment and optimisationArchitect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMakerProvide technical leadership and mentorship to junior consultants while driving best practices across delivery teamsPartner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmapsDrive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practiceInfluence customer AI strategy through technical expertise and industry insightsLead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutionsProvide thought leadership in internal and external engagementsSupport pre‑sales activities to provide technical expertise and review project scoping and risksThis role will be based in our AWS offices in Madrid, when not at the Customer site.About The Team 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, 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 (gender 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 in the cloud.Basic QualificationsStrong experience in building large scale machine learning or deep learning models and in Generative AI model developmentExperience in data and machine learning engineering and cloud native technologiesStrong experience communicating across technical and non-technical audiencesStrong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigationPreferred QualificationsMaster's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer scienceKnowledge of the primary AWS services (ec2, elb, rds, route53 & s3)Experience with software development life cycle (sdlc) and agile/iterative methodologiesExperience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNetAmazon 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