Machine Learning Engineer jobs in South Africa
Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector
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Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector
Job summary
A prominent recruitment agency is seeking a Machine Learning Engineer to work with a client in Abu Dhabi's Government. The role involves developing AI/ML solutions using Large Language Models like GPT and BERT, focusing on high-impact projects and ensuring compliance with government standards. Candidates should have 6-14 years of AI/ML experience, expertise in LLM architectures, and proficiency in Python and relevant ML frameworks.
Qualifications
- 6-14 years of hands-on experience in AI/ML with a strong focus on LLMs and GenAI.
- Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
- Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow).
Responsibilities
- Develop and optimize AI/ML pipelines for LLMs focusing on RAG architectures.
- Implement scalable solutions using cloud-based ML services.
- Deploy and monitor models in production ensuring adherence to compliance standards.
Skills
Tools
Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabis Government & Public Sector. In this role you will design and deploy cutting‑edge AI/ML solutions using Large Language Models (LLMs) like GPT Llama and BERT to drive innovation in public services.
This is an exciting opportunity to work on high‑impact projects involving Retrieval-Augmented Generation (RAG) fine‑tuning and prompt engineering ensuring secure scalable and compliant AI systems for government applications.
- Develop and optimize AI/ML pipelines for LLMs focusing on RAG architectures fine‑tuning and prompt engineering tailored for public sector needs.
- Implement scalable solutions using Python LangChain HuggingFace PyTorch/TensorFlow and cloud‑based ML services (Azure ML preferred).
- Integrate vector/graph databases (Weaviate Neo4j) into production systems to enhance data retrieval and analysis.
- Deploy and monitor models in production ensuring adherence to government security and compliance standards.
- Collaborate with cross‑functional teams to align AI solutions with public sector objectives (e.g. citizen services, data governance, operational efficiency).
- 6-14 years of hands‑on experience in AI/ML with a strong focus on LLMs and GenAI.
- Expertise in LLM architectures (Transformers), prompt engineering and RAG implementations.
- Proficiency in Python and ML frameworks (LangChain LlamaIndex HuggingFace Scikit‑learn).
- Experience with cloud platforms (Azure ML, AWS or GCP) and MLOps tools (MLflow, model monitoring).
- Familiarity with vector databases, ETL pipelines and unstructured data handling.
- Knowledge of government IT standards or secure deployments is a plus.
To be discussed
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.