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AI Engineer
2 weeks ago
Our client, a leading technology-driven network and digital solutions provider, is embarking on a major AI transformation initiative and is seeking five early-career AI Engineers to join the foundational team.
This is your chance to contribute to an end-to-end AI ecosystem; designing, deploying, and scaling intelligent systems that drive real business impact. You'll work alongside talented engineers, data scientists, and business leaders to turn ideas into intelligent, production-ready solutions.
Why this role?
- Be part of an AI-first transformation, building capability from scratch
- Exposure to full AI stack development (ML, data, infrastructure, applications)
- Structured career pathways and mentorship from senior experts
- Hybrid work model with flexibility and strong peer collaboration
- Continuous learning through training, certifications, and AI research exploration
- AI Solution Development & Deployment: Build, train, and deploy ML/DL models for NLP, computer vision, time series, and generative AI. Implement prompt engineering, RAG architectures, and agent-based systems.
- Data Engineering & Pipeline Management: Design and maintain ETL/ELT data pipelines; work with SQL/NoSQL and vector databases; ensure high data quality and readiness for ML models.
- AI Operations & Infrastructure: Deploy models to production with CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring frameworks. Manage model versioning, retraining, and drift detection.
- Platform & Cloud Engineering: Develop AI platform tools and infrastructure using Infrastructure-as-Code and cloud deployment (AWS/Azure/GCP).
- Business Collaboration: Translate business needs into technical AI solutions; ensure responsible AI practices and ethical model implementation.
- Research & Continuous Learning: Stay current with the latest AI advancements; experiment, evaluate, and share findings with peers.
Job Experience and Skills Required:
Education – Bachelor's or Honours degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems (completed within the last 18 months or graduating in 2025).
Experience – Early-career or graduate-level experience (internship, academic project, or self-directed learning in AI/ML).
Skills – Strong Python programming skills (Java, JavaScript, or Go advantageous).
- Good understanding of data structures, algorithms, and database concepts.
- Familiarity with Git, SQL, and cloud computing platforms (AWS, Azure, or GCP).
- Basic understanding of machine learning concepts and frameworks.
- Master's degree or postgraduate AI/ML coursework.
- Exposure to ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience with APIs, Docker/Kubernetes, Terraform, or MLOps tools.
- Demonstrated AI/ML projects on GitHub, Kaggle, or open-source contributions
For more exciting IT vacancies, please visit: Find IT Jobs | Network Recruitment
I also specialize in recruiting in the following:
- C# Developer, .NET Developer, Software Engineer, Full Stack Developer, Backend Developer, Microservices Architect, DevOps Engineer.
For more information, contact:
Chantelle Schutte
Specialist Recruitment Consultant
Connect with me on LinkedIn