Senior AI/ML Engineer

EcoVadis

1d•Hybrid

About The Position

We are looking for a highly motivated Senior AI/ML Engineer to join our growing AI Center of Excellence, responsible for using AI and machine learning to drive innovation across the organization. Your responsibilities will include (but will not be limited to): 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 processes Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions

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 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, etc)
Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and 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 Haves

Contribution to open-source libraries is a plus

Responsibilities

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