Delivery Consultant - Machine Learning (GenAI), ProServe SDT North
Role details
Job location
Tech stack
Job description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries., * Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs.
- Providing technical guidance and troubleshooting support throughout project delivery.
- Collaborating with stakeholders to gather requirements and propose effective migration strategies.
- Acting as a trusted advisor to customers on industry trends and emerging technologies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
Requirements
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years experience in the industry as a ML practitioner with hands-on 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 real-time 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.
Benefits & conditions
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.
