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Role Overview:
- Design and implement scalable real-time data integration and CDC solutions using the Striim platform.
- Design streaming data architectures connecting enterprise databases, cloud data platforms, messaging systems, and AI/ML environments.
- Develop data pipelines that support machine learning workflows, feature engineering, model inference, and real-time AI applications.
Requirements:
- 1–3 years of professional experience or equivalent in data science, machine learning, data engineering, or solution architecture.
- Strong foundation in data science, including ML algorithms, model selection, feature engineering, and the ML lifecycle.
- Familiarity with MLOps practices, cloud platforms (AWS, Azure, GCP), and tools like MLflow, Kubeflow, and Docker.
Benefits:
- Competitive salary and pre-IPO stock options.
- Comprehensive health care plans including medical, dental, and vision, plus medical and dependent FSA.
- Paid Time Off covering vacation, sick leave, and public holidays, with a fully engaged culture.
Striim
Striim is a unified data integration and streaming platform that connects clouds, data, and applications with real-time analytics for enterprise customers. It is a Silicon Valley startup with a culture fostering entrepreneurship and growth, operating as one team with unlimited potential and dignity.