Job Description
What you will be doing:
- Lead the design, development, and deployment of production-grade AI solutions on Microsoft Azure
- Own end-to-end delivery, from data pipelines to model deployment, ensuring security, reliability, and compliance
- Design and implement AI solutions using Azure AI services, including OpenAI, AI Search, and Azure Machine Learning
- Develop secure APIs and integrate with enterprise systems using Azure API Management and Event Hub
- Containerize workloads and deploy to AKS, App Service, or Functions with CI/CD pipelines
- Ensure observability, performance tuning, and cost optimization for AI workloads
- Collaborate with cross-functional teams and document architecture, runbooks, and best practices
- Actively participate in the evolution of technology or domain assets while maintaining asset health
- Play a leadership role in the associated Centre of Excellence (COE) and mentor team members.
What we are looking for:
- Bachelor’s degree in computer science, Engineering, Mathematics, or equivalent industry experience
- 7+ years in software or ML engineering, with 3+ years delivering production AI solutions on Azure
- Proven track record of shipped AI solutions, including architecture diagrams and runbooks
- Expertise in RAG system design, prompt engineering, and performance optimization
- Strong data engineering skills and secure integration patterns
- Applied knowledge of Responsible AI principles and compliance requirements
- Proficiency in Python (required); plus C#/.NET or TypeScript/Node; familiarity with LangChain or Semantic Kernel preferred
- Experience with Azure AI & ML, Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, AKS, Azure Functions, App Service, and IaC (Bicep/ARM/Terraform)
- DevOps/MLOps experience with Azure DevOps or GitHub Actions, MLflow, and telemetry dashboards
- Outcome-oriented with strong problem-solving skills, collaborative leadership, and excellent communication abilities
- Ability to adapt to ambiguity and incremental delivery approaches
Nice-to-Have:
- Experience with Microsoft Fabric and Databricks on Azure
- Domain experience in financial services
- Azure AI Engineer Associate certification or equivalent
Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.
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About Automotive Technician Jobs in Gauteng
The automotive technician industry in Gauteng is a significant sector, with many opportunities available to those passionate about the mechanics of vehicles. Generally, job seekers can expect a stable and diverse job market, with common positions including service technicians, mechanic supervisors, and vehicle inspectors.
Typically, salaries for automotive technicians in Gauteng are within the R400 000 – R800 000 per annum range, depending on factors such as experience, company size, and industry sector. For example, entry-level technicians may start around R300 000, while senior technicians with significant experience can earn upwards of R700 000. However, it’s essential to note that salaries can vary widely, and actual figures will depend on individual circumstances.
Common skills required for automotive technician roles include mechanical aptitude, problem-solving abilities, and excellent communication skills. Additionally, proficiency in diagnostic software, electrical system knowledge, and the ability to work with a variety of vehicle makes are often highly valued. Other essential skills may include attention to detail, time management, and teamwork.
The automotive sector is a diverse industry, employing technicians in various sectors such as financial services, technology, and manufacturing. Financial institutions, for instance, require technicians who can work on luxury vehicles, while the technology industry demands expertise in electric and hybrid vehicles.
Career development opportunities are plentiful in this field. Typically, technicians can progress to senior roles or move into management positions, overseeing teams of technicians. Some may also choose to specialize in specific areas, such as diesel engine repair or vehicle inspection. Others may opt for further education and training, pursuing careers in automotive engineering or related fields.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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