Job Description

Transform quality inspection with cutting-edge AI vision systems that revolutionize defect detection across global manufacturing operations!
Design and deploy advanced deep learning models using TensorFlow, PyTorch, and Python on Azure cloud infrastructure!
Drive innovation as a senior data scientist where your expertise in computer vision, predictive modeling, and MLOps will power intelligent quality inspection systems that detect anomalies, verify parts, and ensure manufacturing excellence!
? Senior data science with Deep Learning and Computer Vision expertise
? Hybrid and remote working flexibility with 1960 flexible annual hours
? AI-powered quality inspection role with Azure ML and MLOps
POSITION: Contract: 01 January 2026 - 31 December 2028
EXPERIENCE: Senior level experience required
COMMENCEMENT: 01 January 2026
LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office rotation
TEAM: Artificial Intelligence Quality Next (AIQX)
Qualifications / Experience

• BSc Hons Statistics/Informatics, Computer Science
• B.Eng (Computer Science)

Essential Skills Requirements

• Applied Machine Learning
• Data Science
• Deep Learning
• Experience in building predictive models using deep learning frameworks like TensorFlow and PyTorch
• Good software engineering skills and highly proficient in Python

Advantageous Skills Requirements

• Solid knowledge of Data Science and Deep Learning core skills
• Familiarity with state-of-the-art Computer Vision techniques and algorithms
• Experience in building predictive models using deep learning frameworks like TensorFlow and PyTorch
• Good software engineering skills and highly proficient in Python
• Demonstrated problem-solving skills with the ability to apply deep learning algorithms in business scenarios
• Knowledge in tools such as Azure Machine Learning, Docker, GitOps, Kubernetes is a plus

Role Requirements

• Research, design and implement Deep Learning models
• Understand user requirements and deploy deep learning solutions to solve complex business problems
• Continuously improve performance, efficiency and scalability of existing models and algorithms
• Establish efficient and automated processes for large scale data analysis of unstructured data
• Implement MLOps processes for continuous improvement in the model lifecycle
• Support development of monitoring and re-training procedures for models in production
• Write production code in Python
• Utilize Azure technologies to build efficient and reusable machine learning pipelines
• Stay up to date with the latest advancements in data science techniques
• Work closely with an international team of Data Scientists, Machine Learning and Software Engineers
• Preparing and performing data analysis
• Introducing data and machine learning models
• Developing data visualization
• Implementing data and machine learning methods
• Processing use cases to answer business-relevant questions
• Transferring data and machine learning models to the appropriate infrastructures
• Evaluating and continuously updating the technological market development
• Developing and updating reusable technological solution blocks (building blocks) as well as integrating them into existing data infrastructures
• Deriving and advising on technology-specific qualification requirements
• Using programming languages and data visualization tools to prepare data, extract knowledge from the data (data analytics) and automate decisions (AI)
• Supporting with the identification of data-driven use cases and incorporate them in the value creation process
• Collecting and processing adequate data (quality and quantity) for further use in the data ecosystem
• Complying with organizational standards

NB:
South African citizens/residents preferred. Valid work permit holders will be considered. By applying, you consent to be added to the database and to receive updates until you unsubscribe. If you do not receive a response within 2 weeks, please consider your application unsuccessful.
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Skills Required