Ipivot.Co - New York, NY

posted 4 days ago

Full-time - Mid Level
New York, NY
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The AWS AI Engineer role focuses on developing and implementing AI solutions within the AWS environment, particularly leveraging Generative AI and machine learning technologies. The position requires a blend of technical expertise and strong interpersonal skills to collaborate effectively with various teams, ensuring that AI applications meet business requirements while adhering to security and compliance standards.

Responsibilities

  • Translate the business requirements for AI applications into viable AI solutions within AWS
  • Select appropriate AWS technologies, considering deployment models and their 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 that the technical implementation aligns with both 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 the 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

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
  • Experience with Generative AI, Deep Learning, Machine learning, LLMOps
  • LLM Experience in prompting & finetuning in GPT3.5/Turbo, GPT-4/4o is a must
  • Certifications in AI/ML technologies and Cloud platforms, such as AWS AI Practitioner
  • Certification in AWS Solutions Architect and other cloud platforms e.g. AWS, Google would be a plus
  • Programming experience in one of the languages - Python, R, Java, C#
  • 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

Nice-to-haves

  • Experience in other LLMs would be a plus
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