
501 - 1000 employees
Founded 2016
👥 HR Tech
☁️ SaaS
🏢 Enterprise
HR Tech • SaaS • Enterprise
Factorial is a comprehensive HR software company that empowers businesses to optimize their human resource management through automation. It offers a centralized platform for managing employee data, payroll, time tracking, talent acquisition, and performance management, helping organizations streamline administrative tasks and focus on their workforce. With innovative solutions designed for various industries, Factorial aims to improve productivity and facilitate better decision-making for HR professionals.
🔥 0 minutes ago
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501 - 1000 employees
Founded 2016
👥 HR Tech
☁️ SaaS
🏢 Enterprise
HR Tech • SaaS • Enterprise
Factorial is a comprehensive HR software company that empowers businesses to optimize their human resource management through automation. It offers a centralized platform for managing employee data, payroll, time tracking, talent acquisition, and performance management, helping organizations streamline administrative tasks and focus on their workforce. With innovative solutions designed for various industries, Factorial aims to improve productivity and facilitate better decision-making for HR professionals.
• Develop software engineering solutions in Python • Deliver ML/AI solutions into production • Design and operate multi-user platforms • Implement and manage Infrastructure as Code, CI/CD, identity and secrets management, network isolation, and policy as code • Work with Databricks, MLflow, and Unity Catalog • Apply classic machine-learning delivery patterns and agent-based approaches • Design and operate RAG systems, including chunking, indexing, and retrieval • Support data security and governance • Collaborate with international teams and share knowledge
• At least 5 years of experience developing in Python • Experience delivering ML/AI solutions in production • Skills in RAG systems, including chunking, indexing, and retrieval • Experience or solid technical curiosity with Databricks, especially MLflow and Unity Catalog • Familiarity with classic machine-learning delivery patterns and agent-based approaches • Experience designing and operating multi-user platforms • Comfortable with Infrastructure as Code (IaC), CI/CD, identity and secrets management, network isolation, and policy as code • Knowledge of data security and governance • Fluent English • Ability to collaborate with international teams • Experience migrating from Kubernetes/Seldon to Mosaic is a strong plus
• Permanent contract • Accelerated professional development and visibility within the tech community • Flexible schedule • Intensive working hours every Friday and during three summer months • 23 vacation days per year • December 24th and 31st off • Equal-opportunity workplace • AI used as a daily assistant to boost creativity, productivity, and learning
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