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 youre scripting in Unix scaling microservices or wrangling data for ML models your work will land where it matters-in 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 thingsits about launching things that work at scale and make a difference.
Skills & Experience: 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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