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| 4 | R2,000 | 27% | R1,460 | R540 |
| 6 | R3,000 | 29% | R2,130 | R870 |
| 8 | R4,000 | 31% | R2,760 | R1,240 |
| 12 | R6,000 | 35% | R3,900 | R2,100 |
Recruitment news

AI Engineer (Generative AI, LangChain)
| Location: | Johannesburg |
| Remote work: | Some remote work allowed |
| Type: | Permanent |
| Reference: | #NG61191 |
| Company: | e-Merge IT Recruitment |
Responsibilities:
- Design, develop, train, and deploy machine learning and deep learning models.
- Build and maintain AI-powered applications, including natural language processing (NLP), computer vision, recommendation systems, and generative AI solutions.
- Collect, clean, preprocess, and analyse large datasets to support model development and optimisation.
- Perform feature engineering and data transformation to improve model performance.
- Deploy AI models into production environments using APIs, microservices, and cloud platforms.
- Monitor model performance, accuracy, and scalability, implementing retraining and optimisation strategies as required.
- Collaborate with Data Scientists, Software Engineers, Product Managers, and business stakeholders to translate requirements into AI solutions.
- Support continuous improvement initiatives and stay current with emerging AI technologies and industry trends.
Qualifications & Experience:
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field.
- Minimum 5+ years' experience in AI Engineering, Machine Learning Engineering, Data Science, or a related role.
- Hands-on experience working with large structured and unstructured datasets.
- Experience building and deploying AI applications using Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Experience developing REST APIs and integrating AI solutions into enterprise applications using FastAPI or Flask.
- Experience deploying and managing AI solutions on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Proficiency with Docker, Kubernetes, CI/CD pipelines, Git/GitHub, and Linux-based environments.
- Experience using MLOps and model monitoring tools such as MLflow
- Exposure to Natural Language Processing (NLP), Computer Vision, Generative AI, Large Language Models (LLMs), or Reinforcement Learning will be advantageous
The Reference Number for this position is NG61191 which is a Permanent, Hybrid role in Johannesburg offering a salary of up to R1.3mil per annum salary negotiable based on experience. E-mail Nokuthula on nokuthulag@ e-Merge.co.za or call her for a chat on 011 463 3633 to discuss this and other opportunities.
Are you ready for a change of scenery? e-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website www.e-merge.co.za for more great positions.
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Posted on 29 Jul 10:39, Closing date 27 Sep
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