Hirenza is a three-person startup founded in 2025, building job-matching and workforce tools on a heavy ML and data stack (Python, TensorFlow, PyTorch, scikit-learn) paired with enterprise data infrastructure (Snowflake, Microsoft Fabric, Kubernetes). The 71 active roles — 54 posted in the last 30 days across engineering, data, HR, and support — signal rapid scaling despite the micro founding team. Projects span geoscience ML models, self-service data transformation, and compliance automation, suggesting the product is broadening beyond job matching into workforce data and process automation.
Hirenza operates as a job-discovery platform, helping candidates find roles faster while building underlying workforce data and ML capabilities. The company is headquartered in Indore, India, and is actively hiring across engineering, data, HR, support, design, and finance roles in India, the United States, and Germany. The tech foundation is built on Python-based ML frameworks (TensorFlow, PyTorch, scikit-learn), cloud infrastructure (AWS, Azure), and enterprise data tools (Snowflake, Microsoft Fabric, Kubernetes). Current project work spans ML for geoscience challenges, dashboard design for fleet and device management, data pipeline development, and compliance automation (FATCA/CRS, VAT), alongside traditional infrastructure projects in overhead line construction and refurbishment.
Python, TensorFlow, PyTorch, scikit-learn for ML; Snowflake and Microsoft Fabric for data warehousing; Kubernetes, Docker, AWS, and Azure for cloud infrastructure; MLflow and Kubeflow for ML operations; Power BI for analytics.
Hirenza is headquartered in Indore, Madhya Pradesh, India. The company is hiring in India, the United States, and Germany.
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