Delivery Consultant - AI/ML, Professional Services, Professional Services
Posted 1 day 19 hours ago by Amazon
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.
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.
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.
Key Responsibilities- Design and develop robust and scalable AI/ML solutions for business problems
- Interact with customers directly to understand the business problem, help and aid them in implementation of their ML ecosystem
- Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Comfortable working in a fast-paced, highly collaborative, dynamic work environment
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
- Experience implementing AWS services in a variety of distributed computing environments
- 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models
- 5+ 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 in English.
- 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
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.