Senior AI​/ML Consultant, AWS Professional Services

Job :  | Amazon Web Services EMEA SARL, Dutch Branch

• Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
• Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and Sage Maker
• Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
• Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
• Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
• Influence customer AI strategy through technical expertise and industry insights
• Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
• Provide thought leadership in internal and external engagements
• Support pre-sales activities to provide technical expertise and review project scoping and risks

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.

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.

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 Amaze Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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.

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.

• Bachelor's degree, or experience in cloud based solution (AWS or equivalent), system, network and operating system
• Experience as technical specialist in design and architecture
• Experience in consulting, design and implementation of serverless distributed solutions
• Experience in software development with object oriented language
• Experience in data and machine learning engineering and cloud native technologies
• Experience building complex highly-scalable systems that involve predictive models or applications of machine learning

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Experience in external or internal customer facing, complex and large scale project management
• Experience in database (eg. SQL, No
  
  SQL, Hadoop, Spark, Kafka, Kinesis)
• Experience with Machine and Deep Learning toolkits such as MXNet, Tensor Flow, Caffe and Py Torch
• Experience facilitating discussions with senior leadership regarding technical…