AI/ML Engineer
Job in
Midrand, Gauteng, South Africa
Listed on 2026-03-04
Listing for:
ExecutivePlacements.com
Full Time
position Listed on 2026-03-04
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Job Description & How to Apply Below
AI / ML Engineer
Recruiter: Network Contracting
Job : NCM
002785/Zandi
Date posted: Friday, February 27, 2026
Location: Midrand, South Africa
Salary: Hourly
Brief SummaryAre you an experienced AI / Machine Learning Engineer with a strong background in building, training, and deploying intelligent models? I’m currently inviting skilled AI / ML Engineers to apply for upcoming contract and long-term assignments with various clients across South Africa. This is an excellent opportunity to position yourself for exciting, cutting-edge roles in the AI and data space.
Key Responsibilities- Design, develop, train, and deploy machine learning models.
- Work with structured and unstructured data to build AI solutions.
- Implement data preprocessing, feature engineering, and model evaluation.
- Collaborate with data engineers and software engineers to product ionise models.
- Monitor model performance and retrain models as needed.
- Research and apply new AI/ML techniques and algorithms.
- Document models, experiments, and best practices.
- Degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
- 3+ years experience as an AI / ML Engineer or Data Scientist.
- Strong programming skills in Python.
- Hands‑on experience with ML frameworks (Tensor Flow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms and statistical methods.
- Experience working with data pipelines and large datasets.
- Familiarity with model deployment techniques (APIs, containers).
- Experience with cloud ML platforms (Azure ML, AWS Sage Maker, GCP AI).
- Knowledge of deep learning, NLP, or computer vision.
- Experience with MLOps tools and CI/CD for ML.
For more exciting IT vacancies, visit: I also specialise in recruiting within the following fields:
Artificial Intelligence | Machine Learning | Data Science | Cloud Engineering | Software Engineering.
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