AI & Data Solutions Architect

InfyStrat; Gauteng; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading company is seeking an AI & Data Solutions Architect with expertise in AI/ML to design and implement advanced solutions. The ideal candidate will have strong programming skills, cloud platform experience, and the ability to integrate AI systems responsibly.

Qualifications

• 8-10 years of experience in data and AI solutions.
• Strong technical skills in relevant programming languages and platforms.

Responsibilities

• Design and implement Gen AI solutions.
• Develop and optimize prompts for AI models.
• Build and deploy AI models, ensuring ethical considerations.

Skills

Strong understanding of AI/ML concepts

Proficiency in Python

Experience with prompt engineering

Familiarity with MLOps principles

Understanding of Nvidia GPU H200 types

Deep understanding of Azure/AWS or GCP cloud platforms

Expertise in relevant cloud services

Knowledge of AWS/Azure/GCP data storage

Job description

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 and 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 in telecom and prior work experience in the area
• Deep understanding of Azure/AWS or GCP cloud platforms
• Expertise in relevant cloud services and tools
• Knowledge of cloud (AWS/Azure/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

Key responsibilities:

• Design and implement Gen AI solutions
• Develop and optimize prompts
• Build and deploy AI models
• Ensure ethical considerations and responsible AI practices. Stay updated on the latest Gen AI advancements
• Integrate with various LLM services and other cloud AI and non-AI services
• Utilize machine learning tools for designing, building, and deploying models, such as Azure Machine Learning or similar tools