Job Description

Job Summary 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.

Data Engineering & Pipeline Management

• 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.

AI Operations & Infrastructure

• 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).

Platform Engineering

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

Business Collaboration

• 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.

Research & Continuous Learning

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

Job Experience and Skills Required:

• 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.

Please submit the following:

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

I also specialise in recruiting in the following:

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

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information, contact:
Jessica Roesch
Senior Recruitment Consultant
Connect with me on LinkedIn! https://www.linkedin.com/in/jessica-roesch-66a1a28a/
Network Finance
Recruiter

Skills Required