AI & Data Solutions Architect

InfyStrat; Gauteng; On-site; ZAR 900 000 - 1 200 000; Full time

Job summary

A leading tech firm in South Africa is seeking an AI & Data Solutions Architect with 8-10 years of experience. The role involves designing and implementing GenAI solutions, developing and optimizing prompts, and building AI models. Candidates should have a strong understanding of AI/ML concepts and experience with cloud platforms like Azure, AWS, or GCP. Familiarity with Nvidia H200 GPUs and MLOps principles is essential, along with machine learning tools for deployment.

Responsibilities

• Design and implement GenAI solutions
• Develop and optimize prompts
• Build and deploy AI models
• Ensure ethical considerations and responsible AI practices
• Integrate with various LLM services and other cloud AI services
• Utilize machine learning tools for model training and deployment

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 H200 GPUs

Deep understanding of Azure/AWS or GCP cloud platform

Expertise in relevant cloud services and tools

Knowledge of Cloud data storage and processing services

Job description

Overview

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 H200 GPUs to design, operate and manage
• Basics 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

Nice-to-have skills

• Ruby on Rails
• Python
• Kubernetes, Docker
• Java
• Nvidia H200 GPU handling
• Azure DevOps
• Azure Cosmos DB
• Docker & Kubernetes containerization

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 deployment for model training and deployment (like Azure Machine Learning or similar tools)