Amazon Delivery Consultant - Machine Learning GenAI ProServe SDT North 

Sweden 

940609066

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,
- Contribute to enhancing and improving AWS services.- Build enterprise-scale AI solutions hands-on on AWS,
- Resolve technical challenges in AI, big data, IoT, and more,
- Influence AWS adoption in our regional market.

- 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