For those who dont just write code but launch innovations.
This isnt your average data science role. Join a tight-knit team building ML/AI features that power real-time insights across massive, distributed systems. Youll be hands-on from idea to deployment, navigating complexity with a clear sense of purpose. Whether you're scripting in Unix, scaling microservices, or wrangling data for ML models, your work will land where it mattersin systems relied on worldwide.
Expect freedom to explore, ownership of outcomes, and a collaborative culture that backs both excellence and experimentation. Its not just about building thingsit's about launching things that work at scale and make a difference.
Skills & Experience:
Minimum 4+ years in data science or data-focused engineering
Production-grade experience deploying ML/AI models
Strong in Python and/or Java
Solid with SQL, large datasets, and database design
Data wrangling, feature engineering, and model evaluation
Proficient in Unix scripting and troubleshooting
Comfortable with CI/CD for ML workflows, microservices, and containers
Bonus: audio processing, NLP, LLM, or RAG techniques
Kafka, gRPC, Docker, Vertica, Grafana, Elasticsearch experience beneficial
Qualification:
Bachelors in Data Science, Computer Science, Engineering, or related
Masters preferred
Contact DYLAN MAWONA on
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