Senior AI/ML Engineer

📋 Description Leverage data to solve business problems of EcoVadis Design, develop, deploy and maintain scalable AI/ML systems Design AI/ML pipelines with MLOps/LLMOps/AgentOps practices Build AI/ML engineering infrastructure to orchestrate batch and real-time pipelines Run large-scale experiments to ensure quality and efficiency of ML/data pipelines Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes 🎯 Requirements Degree in CS, Math, Engineering or related discipline Production-grade AI/ML systems and monitoring at scale Strong Python programming and ML libraries AI/ML lifecycle and MLOps/LLMOps/AgentOps tooling (MLflow, LangChain) Cloud tech with Azure stack and Databricks REST API for ML serving; Docker/Kubernetes deployment 🎁 Benefits Flexible working hours Wellness allowance for mental and physical wellbeing Remote work from abroad policy Learning and development opportunities Paid employee volunteer day Meals and Transportation Vouchers