AI Engineer

SUMMARY:
Our client, a leading technology-driven network and digital solutions provider, is embarking on a major AI transformation initiative and is seeking 5 early-career AI Engineers to join their foundational team.

POSITION INFO:
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, and 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 architecture, 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.

• 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, or scikit-learn).
• Experience with APIs, Docker/Kubernetes, Terraform, or MLOps tools.
• Demonstrated AI/ML projects on GitHub, Kaggle, or open-source contributions