2 дня назад
Data AI Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data AI Engineer (Azure): Designing, building, and deploying scalable AI-driven solutions using Microsoft Copilot Studio and Azure AI Foundry with an accent on business process automation and operational efficiency. Focus on developing agent-based architectures, implementing RAG pipelines, and integrating enterprise data sources.
Location: Johannesburg, South Africa
Company
Independent technology consulting firm providing guidance and solutions to businesses across 60 countries.
What you will do
- Design, build, and deploy scalable AI solutions leveraging Microsoft Copilot Studio and Azure AI Foundry.
- Automate business processes and accelerate the delivery of AI use cases.
- Integrate enterprise data sources and ensure the stability of data pipelines.
- Develop and maintain agent-based architectures and conversational AI solutions.
- Implement and optimize generative AI and machine learning models.
- Collaborate with cross-functional teams and document technical solutions and best practices.
Requirements
- 1–3 years of experience as a Data AI Engineer or in a similar role.
- Proven experience with Microsoft Azure AI Foundry and the broader Azure ecosystem.
- Expertise in building generative AI solutions, prompt engineering, and RAG pipelines.
- Proficiency in Python programming and API integration.
- Experience with SQL, data lakes, GitHub, and CI/CD pipelines.
- Strong communication and collaboration skills.
Culture & Benefits
- International community consisting of over 110 different nationalities.
- Strong internal growth culture where 70% of key leaders started at entry-level.
- Access to a robust internal Academy with 250+ training modules.
- Vibrant workplace with frequent team-building events and afterworks.
- Opportunity to lead high-value strategic projects with concrete business impact.
Hiring process
- Brief introductory virtual or phone call.
- Series of interviews (average of 3) with line managers and team members.
- Technical assessment or case study depending on the position.
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