AI & Data Solutions Architect

Job Description

Role: AI & Data Solutions Architect

Experience: 8-10 Years

Must have skills:

∙Strong understanding of AI/ML concepts

∙Proficiency in Python (or other relevant languages).

∙Experience with prompt engineering- Knowledge of LLMs and their applications.

∙Familiarity with MLOps principles

∙Understanding of Nvidia GPU H200 types to design, operate and manage

∙Basic subject matter expertise of telecom and prior work experience in the area

∙Deep understanding of Azure / AWS or GCP cloud platform.

∙Expertise in relevant cloud services and tools.

∙Knowledge of Cloud (AWS/Azure or GCP) data storage and processing services

Good to have Skills:

∙Ruby on rails

∙Python

∙Kubernetes , docker

∙Java

∙Nvidia H200 GPU handling

∙Azure DevOps

∙Azure cosmos DB

∙Docker & Kubernetes containerization

Requirements:
Key responsibilities:

∙Design and implement GenAI solutions.

∙Develop and optimize prompts.

∙Build and deploy AI models.

∙Ensure ethical considerations and responsible AI practices. Stay updated on the latest GenAI

advancements

∙Integrate with various LLM Services and other cloud AI and non-AI services

∙Utilize machine learning tools for design, build and deploy for model training and deployment

like Azure Machine learning or similar tools