Delivery Consultant, Amazon
Machine Learning (GenAI)
The largest online retailer and technology provider
Be an early applicant
The largest online retailer and technology provider
1001+ employees
Be an early applicant
1001+ employees
Company mission
To be Earth's most customer-centric company.
Role
Who you are
- 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 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
What the job involves
- 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
- 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
Our take
Amazon is the world's largest online retailer, and is well-known for its disruption of well-established industries. The company is present in numerous verticals, including cloud computing with Amazon Web Services, AI with its range of Alexa devices and a global marketplace more commonly referred to as 'the everything store'. Acquisitions include Ring, Twitch, Whole Foods Market, and IMDb.
More recently, Amazon has been focused on leading the "third wave in digital advertising". Many businesses are now shifting ad dollars to retailers, which before would have been spent with online media platforms. Amazon's seen great success in the space, with its revenue from advertising now higher than its Amazon Prime membership scheme, audiobooks and digital music combined. This growth is particularly impressive considering its digital ad rivals (like Snap, Alphabet, and Meta) have suffered declines due to wider macroeconomic factors and Apple's iOS privacy changes.
Despite its dominant market position, Amazon will continue to be challenged over the next decade, including sustaining AWS's cloud dominance in the face of Google and Microsoft. On top of this, the company's e-commerce division is facing profitability problems despite its 2023 post-IPO debt funding of 8 billion. It will need to find new ways to stay above their competitors.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Company HQ
South Lake Union, Seattle, WA
Leadership
Jeff Bezos
(Founder & Executive Chairman)Jeff is an American business magnate, media proprietor, and investor. As well as founding Amazon, Jeff founded Blue Origin, an aerospace manufacturer and sub-orbital spaceflight services company and also owns The Washington Post.
Andy Jassy
(President & CEO)Joined Amazon as a Marketing Manager in 1997. Developed AWS with Jeff Bezos, and became CEO of Amazon in 2021.
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