Exp: 22+yrs
Location:
NP: Immediate joiner – 30days
Job Description:
* GenAI & Data Science; Digital Architecture &
Enablement; Emerging Tech & Innovation Evangelist
* Principles and workings of generative models.
* Knowledge of saving and loading AI models, such as
using formats like ONNX or native formats of deep learning frameworks.
* Cloud platforms like AWS, GCP, or Azure, especially
services related to AI and ML.
* Containerization tools like Docker to package the
application and its dependencies.
* GPUs, TPUs, or other accelerators, and how to leverage
them for AI inference.
* Techniques like model quantization, pruning, and
distillation to improve inference speed and reduce memory footprint.
* Distribute incoming application traffic across
multiple instances to ensure optimal resource utilization.
* Set up monitoring tools to track the health, uptime,
and performance of the deployed application.
* Secure deployment of applications, including
encryption, authentication, and authorization mechanisms.
* Data protection principles, especially when handling
user data or other sensitive information.
* Proficiency with tools like Git.
* CI/CD pipelines and tools like Jenkins, Travis CI, or
GitHub Actions.
* Networking principles to ensure the application is
accessible and communicates effectively with other services or databases.
* Integrating databases to store or retrieve data,
especially if the AI application requires real-time data access.
contactus@briskwinit.com