Senior AI/ML Engineer

EcoVadis is the leading provider of business sustainability ratings. The company analyzes data and builds sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

• 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 (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks)
• Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML, Azure Cloud Storage) and 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 (e.g., Engineers, Product Managers)

Nice to have:

• Contribution to open-source libraries

• 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 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 processes
• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions

Offer available only for candidates eligible to work and live in Poland. Location: Hybrid in Warsaw (2 days per week in the office) / Full remote from Poland. EcoVadis commits to equity, inclusion, and reducing bias in hiring processes. The company does not accept any form of discrimination based on protected characteristics. Applicants are encouraged to remove personal information that could reveal such characteristics and to state legal eligibility to work in the region/country.