Data ScientistPythonAzureMLOps; GautengHybrid ISB

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 Tensor Flow, 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)

• BSc Hons Statistics/Informatics Computer Science
• Computer Science

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

• 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 Tensor Flow and Py Torch
• 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, Git Ops, Kubernetes is a plus

• 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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iSanqa is your trusted Level 2 BEE recruitment partner dedicated to continuous improvement in delivering exceptional service. Specializing in seamless placements for permanent staff, temporary resources and efficient contract management and billing facilitation, iSanqa Resourcing is powered by a team of professionals with an outstanding track record. With over 100 years of combined experience we are committed to evolving our practices to ensure ongoing excellence.

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Employment Type:

Full Time

Experience:

years

Vacancy: 1