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