Delivery Consultant - Machine Learning (GenAI)

Amazon Web Services (AWS); Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Mentorship and career growth opportunities

Flexible work-life balance

Diverse and inclusive culture

Job summary

A leading cloud service provider is seeking a Delivery Consultant for Machine Learning (GenAI) in Amsterdam. The role involves building and implementing innovative AI solutions, collaborating with clients and partners. Ideal candidates have extensive experience in machine learning, strong programming skills, and the ability to communicate effectively across organizations. This position is critical in helping clients achieve their business outcomes with AI technology.

Qualifications

• 3+ years experience as a Machine Learning practitioner.
• Strong programming skills, especially in Python and one additional language.
• Experience in deploying machine learning solutions.

Responsibilities

• Build AI solutions that solve complex problems.
• Guide customers through planning and delivery of AI initiatives.
• Collaborate across teams to achieve project goals.

Skills

Machine Learning

Python

AI Solutions

DevOps Practices

Data Processing

Education

Bachelor's Degree in Computer Science or related field

Tools

Amazon SageMaker

AWS Cloud

Data Pipeline

Job description

Delivery Consultant - Machine Learning (GenAI)

Join to apply for the Delivery Consultant - Machine Learning (GenAI) role at Amazon Web Services (AWS).

Description

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

At Amazon Web Services (AWS), we help large enterprises build AI solutions on the AWS Cloud. We apply predictive technology to large volumes of data across a wide spectrum of problems. AWS Professional Services works with AWS customers to address their business needs using AI solutions.

As a Delivery Consultant – ML, you will innovate, redesign, 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 EC2, Amazon Data Pipeline, Amazon S3, Glue, Amazon DynamoDB, Amazon RDS, Amazon EMR, Amazon Kinesis, AWS Lake Formation, and other AWS services.

You will collaborate across the entire 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 and 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, coach and mentor 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 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 delivering an AI/data project 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.

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, 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.

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 empowers 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 Qualifications

• 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.

Preferred Qualifications

• 3+ years technical experience with 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 such as 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 your 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Location: Amsterdam, North Holland, Netherlands