Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

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 The AWS Industries Team at AWS helps 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 scientists engineers and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and train and fine tune the right models define paths to navigate technical or business challenges develop proof-of-concepts and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

In this role you will be capable of using GenAI and other techniques to design evangelize and implement and scale solutions for never-before-solved problems.

Key job responsibilities
Design and implement complex scalable and secure AWS solutions tailored to customer needs.

Collaborate with stakeholders to gather requirements and propose effective migration strategies.

Providing technical guidance and troubleshooting support throughout project delivery.

Act as a trusted advisor to customers on industry trends and emerging technologies.

Sharing knowledge within the organization through mentoring training and creating reusable artifacts.

About the team
Diverse Experiences
Amazon 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its 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.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

3 years of AI and ML experience and data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience 3 years of cloud architecture and implementation.

Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions from conception to deployment.

Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts.

Bachelors degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science.

Knowledge of data modeling principles statistical analysis methodologies and demonstrated ability to extract meaningful insights from complex large-scale datasets.

AWS experience preferred with proficiency in a wide range of AWS services (e.g. Bedrock SageMaker EC2 S3 Lambda IAM VPC CloudFormation)

AWS Associate level certifications (e.g. Machine Learning Specialty Machine Learning Engineer Associate Solutions Architect Professional) preferred.

Experience with automation and scripting (e.g. Terraform Python).

Knowledge of security and compliance standards (e.g. HIPAA GDPR).

Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Experience in developing and optimizing foundation models (LLMs) including fine-tuning continuous trainingand implementation of AI systems.

Amazon 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 transfer the personal data of our candidates.

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