AI Engineer Architect

AI Engineer Architect needs 8 years AI/ML development experience

AI Engineer Architect requires:

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.

Bachelors Degree in a related field (Computer Science AI/ML).

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

APIs Apigee Developer Portals. Expertise in JSON RESTful services and similar related tech

Containers: Docker Kubernetes OpenShift Ansible Nexus Software defined networking.

AI Engineer Architect duties:

Collaborate with data scientists and other AI professionals

Define the feasibility of use cases along with architectural design for the AI platform

Select cloud onpremises or hybrid deployment models and ensure new tools are wellintegrated with existing data management and analytics tools.

Work with Business and delivery partners to understand future requirements and implications for architecture

Remote Work :

No