About the position
- Develop data science solutions and integrate and scale these solutions into MLOps pipelines.
- Implements analytical algorithms for object detection, segmentation, classification, and recognition.
- Provide support on Low code, no code solutions for business teams.
- Evaluate LLM output and compare LLM configurations.
- Provides complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure.
- Managing the expectations of business product owners, and ensuring that healthy synergy exists between the business and feature team.
- The planning of epics and sprints, and ensuring that business needs are accurately translated into technical tasks for a feature team to execute.
- Is responsible for discovering insights and identifying business opportunities using algorithmic, statistical, and mining techniques.
- Interprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processes.
- Analyses the data and build reports by using data visualisation tools such as Qlik and AWS Quicksight.
Minimum Requirements:
Languages:
Python, Terraform
Scripting Languages:
SQL
Machine Learning:
Python, SKLearn, R, OpenAI
Cloud
AWS, EC2, S3, EMR, Azure
Operating System:
Windows, Linux and Unix
BI/DWH/ETL Tools:
Qlik, AWS Quicksight
DBMS / RDBMS:
Postgres, AWS RDS
IDEs:
VSCode, Pycharm, Jupiter Notebooks, Microsoft Visual Studio
Version Control:
SVN, Git
Tools:
ATC Confluence, JIRA, Bitbucket, GitHub, GitHub CoPilot
Desired Skills:
