Data Engineer/Scientist

A dynamic global group with a focus on innovation topics, comprehensive IT solutions, and global team collaboration is looking for a data engineer/scientist. The ideal candidate will have deep insight into compliance and IT methodology processes, offering a 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 optimise 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 visualisation tools like Qlik and AWS QuickSight.

• Degree in data science, statistics, computer science, or engineering.
• Five to eight years of experience in data science.
• Strong background in software development, mathematics, and analytics.

• Programming and 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)

• Reference number: NG60075
• Location: Johannesburg
• Type: Contract
• Salary: R500 to R600 per hour (negotiable based on experience)

Email Nokuthula at az.oc.egrem-e@galuhtukon or call 011 463 3633 for a chat about this and other opportunities.

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Posted on 13 Mar 10:14, Closing date 12 May