- Intelligent automation of CV ingestion and candidate-to-role matching using semantic search, with efficient pipelines optimised for ease of use, debugging, and sustainability;
- Basic data quality checks; branch syncing via pull requests and merge conflict resolution;
- Data analytics; ML model training, deployment, and usage in MLflow; impact analysis;
- Power BI dashboards for business insights and API monitoring.
- Advanced pricing and discount analytics, encompassing elasticity modelling and customer segmentation for strategic, data-led commercial decisions
- Operations anomaly detection and reporting to proactively surface risks – all governed by optimised pipelines, user-friendly / debugging / sustainable processes, data quality assurance,
- Git-based development workflows, analytics, MLflow for model train/deploy/use/analyse,
- AI-driven survey analytics application that converts complex datasets into executive-ready insights
Minimum Requirements:
Must-haves:
- Matric + Degree or Diploma
- MS Certificates welcome / AWS Machine learning / Databricks
- 3-6 years of experience, strong hands-on project experience
- Analytics & PowerBI
- LLM, ML Flow, ETL, CI/CD, GIT, Azure DevOps, Docker
- Python, SQL, API
Desired Skills:
- Data Scientist
- LLM
- ML