AI Engineer

Network1; Centurion; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading IT company in Gauteng is seeking a skilled professional for AI solution development. The role includes designing and deploying machine learning models, managing data pipelines, and collaborating with business teams to create ethical AI solutions. Candidates should have a Bachelor's degree in Computer Science or related fields, strong Python skills, and experience with SQL and modern ML frameworks. This is a full-time position and offers a dynamic working environment.

Qualifications

• Graduation within the last 18 months or graduating in 2025.
• Strong academic record in relevant fields.
• Proficient in modern ML frameworks.

Responsibilities

• Design and deploy ML models, including NLP and computer vision.
• Manage ETL/ELT pipelines and ensure data quality.
• Collaborate with business teams to deliver AI solutions.

Skills

Python

Machine Learning

SQL

Data Structures

Algorithms

Education

Bachelors or Honours Degree in relevant fields

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Key Responsibilities

• AI Solution Development & Deployment: Design, train, and fine‑tune ML 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.

Job Experience and Skills Required

• Education: Bachelors 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.
• Technical Skills: 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.

Apply Now

For more exciting IT vacancies please visit our website. 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.

Contact: Lameez Mohamed – Specialist Recruitment Consultant. Connect with me on LinkedIn!

Employment Type: Full‑Time

Experience: Years

Vacancy: 1