A

AI Engineer

Asie Personnel
4 days ago
Full-time
Remote
South Africa
AI Services

Introduction

Our Client a Leader within the Healthcare industry based in Sandton requires an AI Engineer.

This is a hybrid role.

 

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.

 

  • 7–10+ 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 (i.e.numpy, 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.

 

 

Apply/send CV to: cv@asie.co.za

Subject Line: AI Engineer

Interested?