Delivery Consultant - Machine Learning GenAI ProServe SDT North

AWS Professional Services is a unique organization. Our customers are mostadvanced companies in the world. We build for them worldclass native IT solutions to solve real business problems and we help them get business outcomes with AWS. Our projects are often unique oneofakind 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 businesscritical AI solutions with our customers. You will take advantage of the global scale elasticity automation and highavailability 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 proofofconcepts workshops and complex implementation projects. You will innovate and experiment to help Customers achieve their business outcomes and deliver productionready 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 customerfacing 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 scikitlearn) 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 conceptdrift 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 enterprisescale AI solutions handson 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!

3 years experience in the industry as a ML practitioner with handson 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 handson 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 antipatterns
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 productiongrade machine learning solutions on public cloud platforms
Knowledge of vertical use cases for large language models in industries like finance healthcare manufacturing etc


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