Data protection and ML consulting for mid-market enterprises
iPepper is a 11–50 person consulting shop in Provence built around data engineering, ML ops, and talent acquisition. The tech stack is heavy on Python/ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch, MLflow, Kubeflow) paired with orchestration (Spark, Databricks, Vertex AI, SageMaker) and testing infrastructure (Playwright, Postman, Gherkin) — indicating they're executing both data pipeline implementations and quality assurance on client projects. Hiring velocity is accelerating with 6 roles posted in the last 30 days, tilted toward senior engineers and data roles, suggesting they're scaling delivery capacity in parallel with growing demand.
Notable leadership hires: Scrum Master Lead Tech
iPepper operates a services firm spanning consulting, recruitment (talent acquisition), and coaching with a focus on data protection, data engineering, and ML systems. Based in Sophia-Antipolis (Provence-Alpes-Côte d'Azur), the company works with mid-market enterprises on ERP implementations, data warehousing, QA automation, and GDPR compliance projects. Active work includes back-office platform evolution, strategic extranet overhauls, SAP data purges, and structured data integration. The team is predominantly senior-level (6 of 8 active roles), indicating a high-touch, expert-driven engagement model rather than pure staff augmentation.
iPepper uses Python (Pandas, NumPy, scikit-learn), ML frameworks (TensorFlow, PyTorch, XGBoost, LightGBM), workflow tools (MLflow, Kubeflow, DVC), cloud ML services (Vertex AI, Azure ML, SageMaker), and testing tools (Playwright, Postman, Gherkin, Rest Assured). They also work with Spark, Databricks, and SQL for data operations.
Active projects include ERP implementation, data warehouse development, QA automation with Playwright, GDPR compliance work, SAP data purges, back-office platform evolution, and strategic extranet overhauls focused on data quality and integration.
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