
Data Engineer/ Scientist - Johannesburg - up to R580 per hour
- Johannesburg, Gauteng
- Permanent
- Full-time
- Develop and integrate data science solutions into MLOps pipelines.
- Implement analytical algorithms for object detection, segmentation, classification, and recognition.
- Provide low-code/no-code solutions for business teams.
- Evaluate and optimize LLM configurations and outputs.
- Support full application lifecycle development, deployment, and operations for Big Data solutions.
- Manage expectations of business product owners and ensure synergy between business and technical teams.
- Plan epics and sprints, translating business needs into actionable technical tasks.
- Identify business opportunities using statistical, algorithmic, and data mining techniques.
- Interpret statistical experiments and regression analysis results for integration into complex business processes.
- Build reports and dashboards using visualization tools like Qlik and AWS QuickSight.
- Degree in Data Science, Statistics, Computer Science, or Engineering.
- 5-8 years of experience in Data Science.
- Strong background in software development, mathematics, and analytics.
- Programming & Scripting Languages:
- Python, Terraform
- SQL
- Machine Learning: Python, OpenAI, LLMs, Prompt Engineering, LLM Agents, Retrieval-Augmented Generation (RAG)
- Cloud Platforms: AWS (EC2, S3, EMR), Azure
- Operating Systems: Windows, Linux, Unix
- BI/DWH/ETL Tools: AWS QuickSight, Grafana
- IDEs: VSCode, PyCharm, Jupyter Notebooks, Microsoft Visual Studio
- Version Control: Git
- Project Tools: ATC Confluence, JIRA, GitHub (including GitHub CoPilot, Actions)
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