
1001 - 5000 employees
Founded 2007
☁️ SaaS
📋 Compliance
🏢 Enterprise
💰 Secondary Market on 2022-11
SaaS • Compliance • Enterprise
EcoVadis is a SaaS company that offers sustainability intelligence solutions for companies of any size and industry, focused on managing ESG risk, compliance, and corporate sustainability goals. The platform provides services like sustainability ratings, risk mapping, carbon management, and due diligence to help companies improve their sustainability performance. EcoVadis covers over 180 countries and 220 industries, offering detailed insights to support supply chain sustainability and compliance with global regulations. The company also provides resources such as the EcoVadis Learning Academy to help companies meet specific sustainability targets, including net-zero carbon goals. EcoVadis serves a broad range of industries, including finance, pharmaceuticals, consumer goods, and more.
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1001 - 5000 employees
Founded 2007
☁️ SaaS
📋 Compliance
🏢 Enterprise
💰 Secondary Market on 2022-11
SaaS • Compliance • Enterprise
EcoVadis is a SaaS company that offers sustainability intelligence solutions for companies of any size and industry, focused on managing ESG risk, compliance, and corporate sustainability goals. The platform provides services like sustainability ratings, risk mapping, carbon management, and due diligence to help companies improve their sustainability performance. EcoVadis covers over 180 countries and 220 industries, offering detailed insights to support supply chain sustainability and compliance with global regulations. The company also provides resources such as the EcoVadis Learning Academy to help companies meet specific sustainability targets, including net-zero carbon goals. EcoVadis serves a broad range of industries, including finance, pharmaceuticals, consumer goods, and more.
• Leverage data to solve business problems across various business units at EcoVadis • Design, develop, deploy, and maintain scalable AI/ML systems • Design AI/ML pipelines applying best practices in MLOps / LLMOps / AgentOps • Build AI/ML engineering infrastructure and systems for batch and real-time pipelines • Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines • Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes
• Experience in AI/ML engineering tools and frameworks • Proficiency in Python • Familiarity with MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks • Experience in building scalable AI/ML systems • Knowledge of best practices in MLOps / LLMOps / AgentOps • Excellent analytical and problem-solving skills • Strong team collaboration ability
• Support with all the necessary office and IT equipment • Flexible working hours • Wellness allowance for mental and physical wellbeing • Access to professional mental health support • Referral bonus policy • Learning and development • Sustainability events and community involvement • Peer recognition program • Employee-led resource groups • Remote work from abroad policy • Meals and Transportation Vouchers (Cobee card) • Dental Benefits • Life & Accident Insurance + Private Health Insurance • Paid employee volunteer day • Paid moving day (1/year) • Time off: 1 Community Service Day + 1 Personal Day • Summer Hours in July and August (36 hours per week) • Hybrid Monthly Allowance for electricity and Internet
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