Senior AI/ML Engineer

• 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 best practices in MLOps, LLMOps, and 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 processes
• Deliver end-to-end solutions using Python, MLflow, Azure stack, and Databricks

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
• Industry experience in driving, designing and implementing production-grade AI/ML systems and integrating those into business applications, as well as model monitoring at scale
• Strong programming skills in Python and related ML libraries
• Strong experience of AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tooling, including MLflow, LangChain, VectorDBs, and evaluation frameworks
• Experience in cloud technology, preferably Azure and its ecosystem, including Azure Foundry, Azure Bicep, AzureML, and Azure Cloud Storage
• Experience with Databricks
• Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Experience with REST API for ML model serving
• Experience with Docker and container orchestration
• Experience with relational and non-relational databases
• Experience in cross-functional collaboration in the development of AI/ML products and services
• Contribution to open-source libraries is a plus
• Eligible to work and live in Spain
• CV submitted in English

• 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 (Coverflex card)
• Dental Benefits
• Life & Accident Insurance + Private Health Insurance
• Paid employee volunteer day
• Paid moving day (1/year)
• 1 Community Service Day + 1 Personal Day
• Summer Hours in July and August (36 hours per week)
• Hybrid Monthly Allowance for electricity and Internet