Job Opportunities in South Africa

The Role

Our Client is looking for a Microsoft Azure AI Specialist to be responsible for designing, implementing, and optimizing AI and machine learning (ML) solutions using the Azure platform. The role requires a deep understanding of Azure AI services, including Azure Machine Learning, Cognitive Services, and AI-related data platforms. The specialist will collaborate with cross-functional teams to develop innovative AI applications, optimize cloud performance, and provide actionable insights from data-driven solutions.

Skills and Experience

What you’ll do:

• Solution Design and Architecture:
• Design and architect AI/ML solutions using Azure services (Azure Machine Learning, Cognitive Services, Bot Services, etc.).
• Collaborate with stakeholders to gather requirements, provide strategic insights, and create AI-driven solutions that align with business objectives.
• Model Development & Deployment:
• Build, train, and deploy machine learning models on Azure.
• Use Azure tools for data wrangling, preprocessing, and model evaluation.
• Ensure that AI models are scalable and optimized for performance in production environments.
• Azure AI Services Integration:
• Integrate Azure AI services (e.g., Natural Language Processing, Computer Vision, and Speech APIs) into applications to deliver intelligent experiences.
• Customize Cognitive Services to meet specific business needs.
• Data Management:
• Work with data engineers and data scientists to ensure the proper setup of data pipelines and Azure Data Lake for AI model training.
• Optimize data storage and retrieval processes for AI workloads.
• Cloud Optimization & Security:
• Ensure the AI solutions are secure, scalable, and cost-effective within the Azure cloud environment.
• Apply cloud security principles, data privacy laws, and best practices when working with sensitive data.
• Collaboration & Stakeholder Management:
• Partner with development teams, data scientists, product managers, and business leaders to ensure seamless implementation of AI solutions.
• Educate stakeholders on the benefits and limitations of AI in business operations.
• Continuous Learning & Innovation:
• Stay updated on the latest Azure AI and machine learning advancements, incorporating new techniques and services into existing solutions.
• Participate in hackathons, workshops, and conferences to enhance expertise in AI and Azure.

Your expertise:

• 3+ years of experience working with Azure AI/ML services.
• Experience working in industries like healthcare, finance, or retail where AI can have a significant impact.
• Technical Expertise:
  • In-depth knowledge of Microsoft Azure AI services (Azure Machine Learning, Azure Cognitive Services, AI Bots, etc.).
  • Proficiency in machine learning algorithms and frameworks (Tensor Flow, Py Torch, Scikit-learn).
  • Experience with programming languages like Python, R, or C#.
  • Strong knowledge of data pipelines, data lakes, and database services (Azure Data Factory, Azure SQL, Databricks).
  • Understanding of MLOps and Dev Ops practices for AI/ML deployment.
• Cloud and Security Knowledge:
  • Hands-on experience with cloud infrastructure and AI service integration in Azure.
  • Familiarity with cloud governance, compliance, and security protocols in Azure.
• Analytical and Problem-Solving Skills:
  • Ability to design end-to-end AI solutions tailored to business challenges.
  • Strong troubleshooting and optimization skills in AI/ML environments.
• Communication Skills:
  • Ability to explain technical concepts to non-technical stakeholders and executives.
  • Experience with creating technical documentation and providing AI solution demos.

Other

Qualifications required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Azure certifications such as Azure AI Engineer Associate, Azure Solutions Architect Expert, or similar.
• Azure Certifications (AI-100, AI-102, DP-100, or equivalent).

Other information applicable to the opportunity:

• Permanent Position
• Location: Roodepoort
• Work Model: Onsite (Monday – Friday)