What are the responsibilities and job description for the AWS AI Engineer position at Global Business Ser. 4u?
Role: AWS AI Engineer
Location: NYC NY---- Need only local candidate
Job Type- Contract
3 Days Hybrid from Day 1
Need somebody very strong GenAI and ML with strong AWS 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.
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
Location: NYC NY---- Need only local candidate
Job Type- Contract
3 Days Hybrid from Day 1
Need somebody very strong GenAI and ML with strong AWS 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.
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
