Job Description
Cape Town – Western Cape – South Africa
- Architect and automate end-to-end ML pipelines (CI/CD, testing, monitoring, retraining) in Azure, DataBricks or Mosaic.
- Build feature stores, model registries and scalable batch/streaming data pipelines (BigQuery/Spark/Kafka/dbt).
- Lead full-lifecycle ML projects ideation, experimentation, production and post-deployment monitoring.
- Apply regression, classification, clustering, time-series forecasting and recommender systems to real-world retail problems.
- Track emerging research (LLMs, ensemble methods, vector search) and run PoCs to keep the stack ahead of the curve.
- Demonstrate thought leadership by challenging the status quo, encouraging radical, out-of-the-box thinking and inspiring the team to step outside their comfort zone.
- Drive a culture of continuous experimentation and learning to unlock innovative solutions.
- Translate fuzzy business questions into data-science roadmaps, articulate complex concepts to non-technical partners.
- Coach and mentor Analysts/Engineers, promoting best-practice coding and MLOps approaches.
- Embed security, cost-optimisation and observability into everything you build.
- Define operating procedures, documentation and design patterns that future-proof the platform.
- 5+ Years delivering commercially driven ML projects from concept to production.
- Expert Python and solid SQL; modern development practices (Git, tests, code review, CI/CD).
- Hands-on design and operation of MLOps pipelines: containerisation (Docker/K8s), automated deployment, drift monitoring, retraining triggers.
- Strong grasp of data-warehousing and modelling concepts; comfortable collaborating with Data Engineering on ETL and architecture.
- Familiarity with Deep-Learning frameworks (TensorFlow/PyTorch) and vector databases.
- Passion for upskilling others and shaping Data-Science culture.
- Excellent communication and collaboration skills to work effectively in cross-functional teams.
- The ability to build and maintain meaningful relationships.
- A strong belief in doing the right thing.
- Driven by results.
- Ability to recognise and embrace change.
- Intellectual curiosity.
- Able to analyse, interpret and assimilate information.
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