Talent acquisition platform powered by ML and behavioral data
INTERA runs a recruitment-tech platform built on C# / .NET + React and a machine-learning stack (PyTorch, TensorFlow, scikit-learn, OpenCV), suggesting heavy investment in candidate-behavior modeling and skill-matching. The tech mix — streaming (Kafka, Kinesis), orchestration (Apache Airflow, Dagster, Prefect), and observability (Prometheus, Grafana, Datadog) — signals a data-intensive operation handling high-volume candidate pipelines. Engineering is the dominant hiring department, with senior-level positions making up the majority of active roles.
INTERA is a Brazilian talent-acquisition platform founded in 2018 and based in Salvador, Bahia. The company combines digital marketing, data analytics, and behavioral modeling to match candidates with employer needs through online recruitment campaigns. The product stack spans candidate-behavior analysis (computer vision, ML inference), campaign orchestration, and data pipeline infrastructure. Active projects center on predictive modeling, credit policy formulation, and financial planning, suggesting expansion into lending or financial-risk domains alongside recruitment. The company operates at 51–200 employees with steady hiring velocity, concentrated in Brazil.
C#, .NET, React, PyTorch, TensorFlow, scikit-learn, Docker, Kubernetes, AWS, GCP, Azure, Apache Airflow, Dagster, Kafka, Kinesis, and observability tools (Prometheus, Grafana, Datadog).
Salvador, Bahia, Brazil. All hiring is concentrated in Brazil.
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