High Priority Position: Data Architect (AI Engineer/Architect) with AWS, Data Science, SAS, R, Python, Git, CI/CD, Containers, Kubernetes Exp. at NC || Hybrid role
Babu S
Hope you are doing great today...
This is BABU, BDM FROM PANTAR SOLUTIONS INC, we are an Information Technology and Business Consulting firm specializing in Project-based Solutions and Professional Staffing Services. Please have a look at below position which is with our Client and let me know your interest ASAP. I would really appreciate if you could send me your MOST RECENT UPDATED RESUME:
Title: Data Architect (AI Engineer/Architect) with AWS, Data Science, SAS, R, Python, Git, CI/CD, Containers, Kubernetes Exp.
Work Location: Charlotte, NC (Hybrid)
Duration: 1 Year with potential extensions
Consultant LinkedIn profile should be created before 2018 || No Junk Profiles please.
Need 10+ yrs of IT Exp. Profiles || Need Passport number, I94, Travel History documents during submission for H1/GC/GC EAD
Top Skills:
** 8 years of AI/ML development experience;
** Knowledge and implementation experience of AI/ML in AWS Cloud services;
** Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python);
** DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
** Must have excellent communication skills, collaborative mindset, team player, self-starter who will take initiative, able to work in a matrix environment across business lines.
The Opportunity:
The AI Architect will work with senior architects and delivery partners. You will ensure that all relevant project teams follow a common set of principles and patterns that utilize a standard set of technology frameworks and libraries while applying architecture standard methodologies that help increase execution velocity.
This associate will be responsible to research and conduct POCs to ensure solutions are built in alignment with platform principles and standards and drive the architecture for key cross team/cross product development projects (via architecture/design documents and developing code key modules).
The Work Itself:
Collaborate with data scientists and other AI professionals
Define the feasibility of use cases along with architectural design for the AI platform
Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
Work with Business and delivery partners to understand future requirements and implications for architecture
Identify architecture solution alternatives, driving business requirements, and availability of new technologies
Identify new technologies and tools to support architecture(s) and determine architectural roadmaps
Work closely with security and risk leaders to foresee and overturn risks
Review solutions and projects to ensure they are consistent with standard methodologies in data and analytics
Primary Skills:
Bachelor’s Degree in a related field (Computer Science, AI/ML).
5 to 8 years of AI/ML development experience
Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python).
DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
AI Architecture - data management, governance, model building and deployment
Knowledge and implementation experience of AI/ML in AWS Cloud services
Nice to have:
API’s, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related tech
Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking.
PLEASE NOTE:
If for any reason this does not interest you or you felt uncomfortable by any part of this email, I sincerely apologize. Please consider this E-mail as a request for referrals and feel free in forward this email to anyone whom you might find a fit.