AI Specialist

Edgexec (Pty) Ltd; Gauteng; On-site; ZAR 166,000 - 277,000; Full time

Job summary

Edgexec (Pty) Ltd is seeking an AI Specialist for a short-term contract in South Africa. The role focuses on practical ML/DL model development, data preparation, deployment, validation and ongoing optimisation across multidisciplinary teams.

You will work on fast-paced projects with strong emphasis on responsible AI, ethics, transparency and regulatory considerations, while delivering under tight timelines.

Qualifications

• Degree in CS/Math/Stats or related field.
• Advanced qualification advantageous for complexity.
• Strong Python programming.
• Experience with ML frameworks like TensorFlow or PyTorch.
• Experience with data, model deployment and production environments.
• Awareness of responsible AI principles and ethics.

Responsibilities

• Design, build and optimise ML and DL models.
• Analyse large datasets and prepare data for training.
• Develop algorithms for pattern recognition and prediction.
• Collaborate with engineers to integrate AI into production systems.
• Test and validate models for accuracy and scalability.
• Monitor deployed AI systems and improve reliability.
• Research emerging AI technologies and techniques.
• Apply responsible AI considerations throughout development.

Skills

Python programming

Analytical thinking

Cross-functional collaboration

Model testing & validation

AI ethics awareness

Immediate start

Education

Bachelor's degree in Computer Science, Mathematics, Statistics or related field

Advanced qualification beneficial

Tools

TensorFlow

PyTorch

R

Java

Cloud platforms

Job description

AI Specialist | South Africa | 2.5-Month Contract

Join a high-impact technology project where your AI and machine learning expertise will be applied to real-world business challenges. This is an immediate-start contract for a specialist who can move confidently from data and model development through to deployment, validation and ongoing optimisation.

As an AI Specialist, you will work at the intersection of computer science, mathematics and data analytics, developing intelligent solutions that automate processes, improve decision-making and solve complex problems. You will be expected to take a practical, hands-on approach to machine learning and deep learning while collaborating closely with technical and business stakeholders.

The environment is technology-driven and requires someone comfortable working at pace within a short-term delivery window. The successful candidate will combine strong technical depth with sound analytical thinking and an understanding of the responsible application of AI.

Our client operates within a sophisticated technology environment and delivers solutions where reliability, accuracy and effective integration are critical. The culture is collaborative, delivery-focused and suited to specialists who can contribute quickly within multidisciplinary teams.

What You'll Do

• Design, build and optimise machine learning and deep learning models.

• Analyse large datasets, assess data quality and prepare data for model training.

• Develop and refine algorithms for pattern recognition, prediction and automated decision-making.

• Collaborate with software engineers and other technical specialists to integrate AI models into production systems.

• Test and validate models, evaluating accuracy, performance and scalability.

• Monitor deployed AI systems and identify opportunities to improve reliability and efficiency.

• Research emerging AI technologies, methodologies and techniques relevant to the project.

• Apply appropriate AI ethics, fairness, transparency and regulatory considerations throughout the development lifecycle.

What You Bring

• A degree in Computer Science, Mathematics, Statistics or a related discipline.

• An advanced qualification would be advantageous where relevant to the complexity of the work.

• Strong programming capability, particularly in Python, with exposure to R and/or Java.

• Practical experience with machine learning frameworks such as TensorFlow and PyTorch.

• Strong understanding of machine learning algorithms, neural networks and data structures.

• Experience working with cloud platforms and production technology environments.

• Strong analytical capability and the ability to derive meaningful insights from complex datasets.

• Experience collaborating with data engineers, software developers, product teams and other cross-functional stakeholders.

• An understanding of model testing, validation, monitoring and optimisation.

• Awareness of responsible AI principles, including fairness, transparency and regulatory considerations.

• Availability to start immediately and commit to the full 2.5-month contract.

What Success Looks Like

• AI and machine learning solutions are developed and delivered within the required project timelines.

• Models demonstrate appropriate levels of accuracy, reliability and scalability.

• AI solutions integrate effectively with the broader technology environment.

• Data and model quality are rigorously assessed throughout development and deployment.

• Technical challenges are identified early and resolved pragmatically.

• Collaboration across technical and business teams supports efficient delivery.

• AI solutions are developed and deployed with appropriate consideration for ethics, transparency and compliance.