AI Engineer

SUMMARY:
We are seeking an experienced Head of IT to lead and manage the organisation’s IT infrastructure environments. This role is responsible for ensuring the stability, scalability, and security of all IT systems and supporting power infrastructure, while overseeing vendors, internal governance, and incident response.

POSITION INFO:
Key Responsibilities:

• AI Solution Development & Deployment:
  
  • Design, train, and fine-tune machine learning and deep learning models (NLP, computer vision, time series, generative AI).
  • Build and deploy AI applications using LLMs and ML frameworks.
  • Implement prompt engineering, retrieval-augmented generation (RAG), and agent-based systems.
  • Create APIs, integrations, and production-ready Python code for scalable AI services.
  Data Engineering & Pipeline Management:
  
  • Gather, clean, and transform raw data into machine-learning-ready formats.
  • Build and manage ETL/ELT pipelines using SQL, NoSQL, and vector databases.
  • Develop and optimise data warehouses and real-time data processing workflows.
  • Ensure data quality, governance, and observability.
  AI Operations & Infrastructure:
  
  • Deploy and monitor ML models in production environments.
  • Build CI/CD pipelines for AI model deployment.
  • Work with containerisation and orchestration tools (Docker, Kubernetes).
  • Manage cloud resources, model versioning, and retraining cycles.
  Platform Engineering:
  
  • Develop internal AI tools and platform infrastructure.
  • Apply infrastructure-as-code and workflow orchestration techniques.
  • Work with microservices and API gateway patterns.
  Business Collaboration:
  
  • Collaborate with product, engineering, and business teams to identify and deliver AI solutions.
  • Translate business challenges into data-driven, ethical, and explainable AI systems.
  • Identify automation opportunities and evaluate business value.
  Research & Continuous Learning:
  
  • Stay current with emerging AI technologies and frameworks.
  • Experiment with new architectures and share learnings with the wider team.

• Bachelor’s or Honours degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.
• Graduated within the last 18 months or graduating in 2025.
• Strong academic record.

• Proficient in Python or similar programming languages (Java, JavaScript, Go).
• Strong understanding of data structures, algorithms, and software design principles.
• Proficient in SQL and database concepts.
• Understanding of ML fundamentals, statistics, and probability.
• Familiarity with Git, cloud platforms (AWS, Azure, or GCP), and modern ML frameworks.

• Software Developers
• Mobile Developers
• Business and Systems Analysts
• BI and SQL Experts