Idoven

HQ
Madrid, Comunidad de Madrid, ESP
61 Total Employees
Year Founded: 2018

Similar Companies Hiring

Software • Professional Services • Productivity • Information Technology • Cloud
Chicago, IL
45 Employees
Software • Infrastructure as a Service (IaaS) • Cloud • Artificial Intelligence
2 Offices
53 Employees
Software • News + Entertainment • Marketing Tech • Generative AI • Enterprise Web • Digital Media • Consumer Web
2 Offices
14 Employees
Jobs at Idoven

Search the 5 jobs at Idoven

Recently posted jobs

58 Minutes Ago
Spain
Artificial Intelligence • Healthtech • Software
As a Data Scientist, you will develop and implement machine learning algorithms for analyzing cardiovascular data, collaborate with cross-functional teams, enhance products through research, and ensure compliance with data regulations while visualizing findings for stakeholders.
2 Days Ago
Madrid, Comunidad de Madrid, ESP
Artificial Intelligence • Healthtech • Software
The Quality Systems Analyst will assist in managing Idoven's Quality Management System (QMS) to ensure compliance with relevant standards. Responsibilities include processing customer feedback, managing supplier quality, ensuring audit readiness, leading quality improvement initiatives, overseeing document control, maintaining risk management documentation, and supporting training programs.
Artificial Intelligence • Healthtech • Software
As a Senior DataOps Engineer, you'll develop scalable solutions and maintain high-performance data pipelines for AI-driven workflows, oversee data ingestion and transformation, ensure data quality and compliance, and collaborate globally with technical teams.
5 Days Ago
Spain
Artificial Intelligence • Healthtech • Software
The VP of Engineering will develop and implement the engineering strategy, lead and mentor engineering teams, collaborate on product requirements, establish best practices, manage resources, and engage with stakeholders to drive technology direction.
Artificial Intelligence • Healthtech • Software
As a Platform Engineer, you will deploy applications and pipelines while collaborating with various teams to transition machine learning prototypes into production. You will manage the machine learning infrastructure, improve existing solutions, and define technical solutions for product development projects.