A dynamic global group with a focus on innovation topics as well as comprehensive IT solutions and Global Team collaboration driving experiences with a deep insight into the compliance and IT Methodology processes is recruiting for a Data Engineer/ Scientist who will offer deep insights into the compliance and IT Methodology processes, with the ability to offer an extended vested interest in the success and sustainability of the group.

Responsibilities:

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. Qualifications & Experience: Degree in Data Science, Statistics, Computer Science, or Engineering. 58 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) The Reference Number for this position is NG60075 which is a Contract position based in Johannesburg offering a salary of R500 up to R600 hour salary negotiable based on experience. E-mail Nokuthula on

Data Engineer/ Scientist – Johannesburg – R500 To R600 Per Hour position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-01-23 in the It Computing Software category