Delivery Consultant Machine Learning (GenAI), ProServe SDT North

AWS Professional Services is a unique organization. Our customers are most-advanced companies in the world. We build for them world-class -native IT solutions to solve real business problems and we help them get business outcomes with AWS. Our projects are often unique one-of-a-kind endeavors that no one ever has done before.

At Amazon Web Services (AWS) we are helping large enterprises build AI solutions on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.

As a Delivery Consultant - ML you will innovate (re)design and build -native business-critical AI solutions with our customers. You will take advantage of the global scale elasticity automation and high-availability features of the AWS platform. You will build customer solutions with Amazon SageMaker Amazon Bedrock Amazon Elastic Compute (EC2) Amazon Data Pipeline Amazon S3 Glue Amazon DynamoDB Amazon Relational Database Service (RDS) Amazon Elastic Map Reduce (EMR) Amazon Kinesis AWS Lake Formation and other AWS services.

You will collaborate across the whole AWS organization with other consultants customer teams and partners on proof-of-concepts workshops and complex implementation projects. You will innovate and experiment to help Customers achieve their business outcomes and deliver production-ready solutions at global scale. You will lead projects independently but also work as a member of a larger team. Your role will be key to earning customer trust.

As an Amazonian you will demonstrate the Amazon Leadership Principles coaching and mentoring others on best practices performance and career development.

This is a customer-facing role. When appropriate and safe you will be required to visit our office and to travel to client locations to deliver professional services when needed.
You will:
- Invent and build AI solutions that solve complex problems scale globally guarantee performance and enable breakthrough innovations
- Use AWS AI/ML services (e.g. Amazon Bedrock) ML platforms (SageMaker) and frameworks (e.g. MXNet PyTorch SparkML scikit-learn) to help our customers build AI/ML solutions.
- Work with customers and partners guiding them through planning prioritization and delivery of complex transformation initiatives while collaborating with relevant AWS Sales and Service Teams
- Assist customers by being able to deliver a AI/data projects from beginning to end including understanding the business need aggregating data exploring data building & validating predictive models and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization
- work with our other Professional Services consultants (GenAI Big Data IoT HPC) to analyze extract normalize and label relevant data and with our Professional Services engineers to operationalize customers models after they are prototyped
- Help customers define their business outcomes and guide their technical architecture and investments
- Create and apply frameworks methods best practices and artifacts that will guide our Customers; publish and present them in large forums and across various media platforms
- Contribute to enhancing and improving AWS services.
Our team in AWS Professional Services provides you excellent opportunities to
- Build enterprise-scale AI solutions hands-on on AWS
- Resolve technical challenges in AI big data IoT and more
- Overcome business challenges in different industries
- Develop your leadership skills in Customer engagements
- Influence AWS adoption in our regional market.

Come and Build with us!

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 below 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.

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. 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:
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.

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.

- 3 years experience in the industry as a ML practitioner with hands-on and implementation of ML systems; building validating and deploying GenAI models
- 7 years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role
- 3 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 solutions Strong verbal and written communications skills and ability to lead effectively across organizations

- 3 years Technical experience preferred knowledge of AI/ML Technology stack of AWS and Generative AI trends patterns anti-patterns
- 3 years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware
- Serving ML models through realtime APIs and experience with deploying production-grade machine learning solutions on public cloud platforms
- Knowledge of vertical use cases for large language models in industries like finance healthcare manufacturing etc

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.