Saxon Global
Location: New York,NY, USA
Date: 2024-11-01T05:55:36Z
Job Description:
Role: AWS AI Engineer Location: NYC NY 3 Days Hybrid from Day 1Try for Machine Learning Candidate with AWS Open AI experience. The candidate should demonstrate a strong blend of technical skill and industry knowledge and exhibit excellent communication, teamwork, customer service, and leadership qualities to effectively engage with cloud engineering, information security, and line of business teams. Given the collaborative requirements of this position, it is essential that the candidate possesses advanced Gen AI/AWS/technical skills alongside strong interpersonal abilities. 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 Preferred Qualifications and Skills At least 5 years of experience in implementing cloud-based AI workloads on AWS, delivering production grade solutions Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field 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 Practitioner. Certification in AWS Solutions Architect and other cloud platforms e.g. AWS, Google would be a plus. Programing 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
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