Senior AI/ML Engineer

📋 Description

• Leverage data to solve business problems of various business units at EcoVadis
• Design, develop, deploy and maintain scalable AI/ML systems
• Design AI/ML pipelines by applying the best practices in MLOps / LLMOps / AgentOps
• Build AI/ML engineering infrastructure and systems to orchestrate 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

🎯 Requirements

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
• Industry experience in driving, designing and implementing production-grade AI/ML systems and
• Strong programming skills in Python and related ML libraries
• Strong experience of AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tooling (e.g.
• Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure
• Solid understanding of software engineering best practices across the development lifecycle

🎁 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