AWS Cloud AI Engineer

4 weeks ago


New York, New York, United States Minutes to Seconds Pty Ltd Full time
Job Description

At Minutes to Seconds, we're passionate about matching talented individuals with exciting job opportunities. Our goal is to provide a seamless experience for both our candidates and clients, ensuring a perfect fit every time.

We're seeking a highly skilled AWS Cloud AI Engineer to join our team in New York, NY. As a key member of our Windows team, you'll collaborate with various sectors to create, launch, and support AI-based cloud and hybrid applications.

Key Responsibilities:

  • Translate business requirements into viable AI solutions within AWS
  • Select appropriate AWS technologies for seamless integration with existing tools
  • Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop production-ready solutions
  • Gather feedback from diverse stakeholders to ensure technical implementation aligns with current and future AI requirements
  • Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI usage and compliance
  • Gain an understanding of and contribute to LLM operations, focusing on infrastructure and operational capabilities required to deploy AWS AI solutions
  • Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization
  • Integrate security best practices into solutions to facilitate streamlined CI/CD pipelines for deployment and secure software delivery
  • Establish the AWS OpenAI service in Microsoft AWS with an architecture tailored to support business teams

Requirements:

  • At least 5 years of experience in implementing cloud-based AI workloads on AWS, delivering production-grade solutions
  • Bachelor's Degree in Computer Science, Statistics, Data Science, or a related field
  • At least 1 year of experience in implementing AWS OpenAI solutions
  • Generative AI, Deep Learning, Machine Learning, LLMOps
  • LLM Experience in prompting & finetuning in GPT3.5/Turbo, GPT-4/4o is a must. Experience in other LLMs would be a plus.
  • Certifications in AI/ML technologies and Cloud platforms, such as AWS AI Engineer Associate (AZ-102)
  • Cloud Services Expertise: AWS OpenAI, Document Intelligence, AI Search, Cosmos DB, App service, Managed Identities, Customer Managed Keys, AWS IaaS and PaaS solutions, Copilot Studio
  • Experience in CI/CD Tools Bitbucket, Terraform is a must.
  • Experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional, stress, and performance testing
  • Strong knowledge of business analysis, requirement gathering, and gap analysis
  • Strong communication, presentation, and interpersonal skills
  • Fast learner, individual as well as a team player and can work under pressure
  • Power Automate development experience would be a plus

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