Senior AI Engineer
Senior AI Engineer
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5years
1 - 1
1 Vacancy
Job Description
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.
Requirements
Essential 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
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
Benefits
Key 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
- Guide teams in data-driven decision-making
- Translate business needs into AI-driven solutions
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
Educational Qualifications: Bachelor s degree in business, Analytics, IT, or a related field. Professional Experience: 5+ years of experience in analytics, business-IT liaison roles, or a similar field. Proven experience in data management, data governance, and project management. Technical Skills: Proficiency in Business Intelligence (BI) tools (e.g., Power BI, Tableau, QlikView). Strong knowledge of data processes, data modeling, and predictive analytics. Expertise in data governance and ensuring data quality standards. Experience with cloud platforms (AWS, Azure) and IT infrastructure for hosting and managing data environments. Financial Management: Experience managing Capex and Opex for analytics projects. Strong skills in reviewing vendor proposals, managing cost-effective solutions, and assessing quotes. Project Management: Strong organizational skills with the ability to oversee analytics projects from demand management through to delivery. Knowledge of project management methodologies (e.g., Agile, Waterfall). Business & Stakeholder Engagement: Ability to engage with senior stakeholders, such as Managing Directors and Functional Directors, to drive analytics initiatives. Experience in stakeholder engagement and managing cross-functional teams to align analytics with business objectives. Data Literacy & Adoption: Ability to drive data literacy programs and advocate for the adoption of data assets across business. Experience in identifying competency gaps and organizing relevant training or learning sessions. Governance & Compliance: Strong understanding of data governance policies and practices. Ability to conduct access reviews, manage data access permissions, and ensure compliance with organizational policies and external regulations. Cross-Cultural Communication: Ability to work across diverse geographies and cultures, particularly in African markets. Understanding of the African business landscape, local market dynamics, and regulatory environments is a significant advantage. Soft Skills: Analytical mindset with strong problem-solving capabilities. Excellent communication skills (both verbal and written) to simplify complex data concepts for non-technical stakeholders. Attention to detail and a proactive approach to identifying and resolving data integrity issues. Leadership and collaboration skills with the ability to lead teams, foster relationships, and engage effectively with both technical and business leaders.
Employment Type
Full Time
