About the position
Work Authorization:
Preference for South African citizens or residents. Applicants with valid work permits will also be considered.
About the IT Hub
This IT Hub provides global IT solutions, focusing on innovation and comprehensive support for platforms such as SAP, JAVA, Azure, and Cloud services. As an internal partner, the team collaborates closely with stakeholders across the organization, ensuring deep compliance and methodology alignment. The Hub has a strong track record in successfully delivering global IT projects.
RequirementsEssential Skills Requirements
· Programming: Proficient in Python, clean and reusable coding practices
· AWS Lambda: Serverless app development, testing, and deployment
· Version Control: Git experience (e.g., GitHub)
· Testing: Use of frameworks like pytest; automated testing pipelines
· APIs: RESTful API development, usage, and management tools like Apigee
· Cloud Platforms: AWS deployment familiarity
· Tools: Visual Studio Code, GitHub Desktop, PyCharm, Jupyter Notebook
Advantageous Skills
· Advanced SQL skills
· Understanding of Large Language Models (e.g., GPT-4) and their integration
· Experience with SAP Analytics, including SAP Datasphere
· Infrastructure management using Terraform
· Generative AI experience
· Training and coaching skills
· Strong problem-solving and presentation skills
Qualifications & Experience
· Bachelor’s degree in computer science, Software Engineering, or related field
· 3–5+ years of experience with Python
· Background in software development and AI solutions
BenefitsKey Responsibilities
1. Data Analytics & Modelling
· Design data mining protocols and statistical models
· Analyze large datasets across business functions
· Stay current with data science advancements
2. Machine Learning & AI Integration
· Develop ML/AI solutions to solve business problems
· Architect prompt engineering strategies for AI models
· Align AI output with organizational goals
3. AI-Powered Content Generation
· Create and refine AI-generated prompts
· Improve model performance through ML techniques
· Work with LLMs and RAG pipelines
4. AI System Integration & Deployment
· Integrate AI into existing systems
· Develop scalable, secure deployment strategies
· Collaborate with IT teams for system implementation
5. Stakeholder Engagement & Collaboration
Benefits
· Access to global IT systems and tools
· 1960 flexible working hours annually
· High work-life balance
· Remote and on-site work options
· Competitive employee vehicle promotions
· Modern offices and global collaboration
· Agile methodology application
Desired Skills:
- Power Bi
- BI AMS
- Digital Factory
Desired Qualification Level:
- Degree
About The Employer:
