Senior AI/ML Engineer

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EcoVadis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Secondary Market on 2022-11

Consulting • Healthcare • Logistics

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.

📋 Description

• Leverage data to solve business problems across various EcoVadis business units • Design, develop, deploy, and maintain scalable AI/ML systems • Design AI/ML pipelines using MLOps, LLMOps, and AgentOps best practices • Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines • Run large-scale experiments and tests to ensure ML and data pipeline quality and efficiency • Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes • Use Python, MLflow, Azure technologies, and Databricks to deliver end-to-end solutions

🎯 Requirements

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline • Industry experience designing and implementing production-grade AI/ML systems integrated into business applications • Experience with model monitoring at scale • Strong programming skills in Python and related ML libraries • Strong experience with AI/ML lifecycle principles and MLOps, LLMOps, and AgentOps tooling • Experience with MLflow, LangChain, VectorDBs, and evaluation frameworks • Experience with cloud technology, preferably Azure and its ecosystem, including Azure Foundry, Azure Bicep, AzureML, and Azure Cloud Storage • Experience with Databricks • Understanding of software engineering best practices across the development lifecycle • Knowledge of agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations • Experience with REST APIs for ML model serving • Experience with Docker and container orchestration • Experience with relational and non-relational databases • Experience collaborating cross-functionally on AI/ML products and services • Excellent verbal and written communication, critical thinking, and analytical skills • Candidates must be eligible to work and live in Poland • CV must be submitted in English • Contribution to open-source libraries is a plus

🏖️ Benefits

• 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 • Optional (fully covered or co-financed) health care and life insurance • Multisport card • Multikafeteria • Lunch card • Hybrid work organization • Remote work from abroad policy • Internet and Electricity bill allowance • Additional day for community service when volunteering • Hiring process adjustments, including provision of interview questions, upon request