Microsoft Azure AI Specialist

4 weeks ago

Roodepoort, South Africa Jobted ZA C2 Full time

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.

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 (TensorFlow, PyTorch, 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 DevOps 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.

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)

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