Junior AI Engineer (12 month contract)

SUMMARY:
Are you passionate about artificial intelligence and eager to play a hands-on role in shaping real-world AI solutions?

POSITION INFO:
Join a leading telecommunications and digital technology company that’s building its AI capability from the ground up. This is your opportunity to work across the full AI stack — from infrastructure and data engineering to application development and business implementation.

Key Responsibilities:
AI Solution Development & Deployment

• Design, train, and fine-tune ML/DL models (NLP, computer vision, time series, generative AI).
• Build and deploy AI applications using LLMs, ML frameworks, and modern prompt engineering techniques.
• Develop APIs, integrations, and microservices for production-ready AI deployment.

• Gather, clean, and prepare data for AI workloads.
• Build and optimise ETL/ELT pipelines using SQL, NoSQL, and vector databases.
• Design data warehouse and real-time data processing solutions.

• Manage AI models in production, including monitoring, retraining, and version control.
• Implement CI/CD pipelines and containerisation (Docker, Kubernetes).
• Oversee cloud infrastructure for AI workloads (AWS, Azure, or GCP).

• Contribute to building internal AI platforms and tooling infrastructure.
• Work with infrastructure-as-code, workflow orchestration, and GPU resource management.

• Partner with product managers, software engineers, and data scientists to translate business problems into AI use cases.
• Ensure ethical AI practices and data governance compliance.

• Stay updated on emerging AI technologies, frameworks, and best practices.
• Experiment, innovate, and share knowledge within the team.

• Bachelor’s or Honours degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, or a related quantitative field.
• Recent graduate (within the last 18 months) or completing studies in 2025
• Strong programming ability in Python (or Java, JavaScript, Go).
• Solid understanding of algorithms, data structures, and software design principles.
• Strong SQL skills and familiarity with databases.
• Exposure to cloud platforms (AWS, Azure, or GCP) and Git version control.
• Understanding of basic ML concepts and data analysis fundamentals
• Familiarity with Agile methodologies and CI/CD practices.
• Analytical thinker with strong problem-solving skills.
• Eager to learn, experiment, and adapt in a rapidly evolving AI landscape.
• Excellent communicator and collaborative team player.

1. Detailed CV including academic transcripts and final marks
2. Cover Letter (maximum 500 words) explaining your interest in AI engineering and which aspects of the AI stack interest you most
3. Two References (academic or professional)

• Software Developers (Back-End/ Front-End/ Full Stack)
• Business Intelligence
• Data