AI Engineer
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Job Location:
Midrand - South Africa
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Introduction
Our Client a Leader within the Healthcare industry based in Sandton requires an AI Engineer.
This is a hybrid role.
The AI Engineer is responsible for designing building deploying and maintaining advanced AI and machine-learning systems with a focus on cloud platforms MLOps LLMOps and modern scalable cloud architectures. The role leads the full lifecycle of AI products including solution design feature engineering model development deployment monitoring governance and optimisation across classical ML and LLM solutions.
Duties & Responsibilities
- Knowledge and understanding of the Data Science Development Cycle: business understanding data profiling feature derivation and selection data modelling model evaluation productionisation monitoring.
- Ability in applying statistical machine learning techniques to predictive modelling problems and translating this into business solutions.
- Ability to clean and unify messy and complex data sets for easy access and analysis. Combining structured and unstructured data.
- Ability to provide detailed explanations (visually and verbally) representing information in the form of a chart diagram picture using tools such as Kibana Tableau Power BI etc.
- Write programming code in python and SQL based on a prepared design.
- Understand leading edge technologies and best practice around Big Data platforms and distributed data processing i.e. Hadoop ecosystem (distributed computational power)-HDFS/Spark/Kafka.
- Ability to conceptualise and frame a problem develop hypothesis and identify objective measures to estimate accuracy of machine learning/statistical processes and perform testing and validation with careful experiments.
- Understanding of data flows ETL and processing of structured and unstructured data within the data architecture.
- Comprehensive solution design based on a good understanding of the Big Data Architecture.
- Proficiency with AI platforms and ecosystems: Mosaic AI Vector Search Model Serving MLflow Unity Catalog Delta Lake Foundation Model APIs.
Desired Experience & Qualification
- Degree (Honours Masters or PHD) in Data Science Statistics Computer Science Engineering Mathematics and / or a combination of these or related fields.
- Relevant data science and engineering certifications such as Python Microsoft AWS Hadoop big data machine learning databricks and similar cloud infrastructure and platforms.
- 710 years in applied machine learning or AI engineering
- strong experience with Databricks MLflow classical ML and LLM operationalization
- Python/SQL; big data systems; cloud production environments.
- Experience with Python/Microsoft ML and tools available within the machine learning ecosystem ( pandas matplotlib SciPy stack) and working in Jupyter notebooks.
- Experience with SQL and working with large-scale data sets.
- Knowledge and practical experience applying machine learning techniques.
- Experience working in agile development teams.
- Experience in operationalising data science solutions or similar product development.
- Experience in a high-scale production environment is critical.
- Deep expertise in AI engineering MLOps and LLMOps best practices.
Subject Line: AI Engineer
Interested
Required Experience:
IC
