Staff AI/ML Scientist

EcoVadis

6d•Hybrid

About The Position

We are looking for a highly motivated Staff AI / Machine Learning Scientist with the focus on Conversational AI to join our growing AI Center of Excellence team, responsible for using AI to drive innovation across the organization and accelerate positive impact on our planet and society. In this role, you will redefine how users interact with complex enterprise domain data - transforming simple text interfaces into goal-oriented, multi-step conversational agents for a variety of use cases, from sustainable procurement to supply chain resilience to decarbonisation. You will be part of the team of over 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.

Requirements

PhD or Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Computational Linguistics)
8+ years of overall experience in machine learning and Natural Language Processing (NLP), with at least 4+ years specializing in Conversational AI in production environments
Advanced knowledge of agentic frameworks and proven track record building autonomous or semi-autonomous agentic systems at scale
Experience in leading end-to-end AI initiatives in industry, from design to implementation to integration, and applying best software development practices
Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives they lead
Experience of cross-functional collaboration in the development of AI-powered products (e.g., Engineers, Product Managers)

Nice To Haves

Experience building conversational interfaces over complex enterprise domains (e.g., Supply Chain, Procurement, Financial Risk) is a plus
Track record of peer-reviewed publications in top-tier NLP/AI venues (ACL, EMNLP, NeurIPS, AAAI, KDD) is a plus

Responsibilities

Design and test multi-turn, state-aware conversational systems using LLM reasoning loops (e.g., ReAct, Plan-and-Solve) and multi-agent orchestration frameworks (LangGraph, AutoGen, or custom state machines)
Innovate by adapting new frameworks and recent advances in generative and agentic AI
Promote best practices in AI / ML and mentor junior team members
Lead functional teams and initiatives to accelerate the adoption of Conversational AI
Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models
Stay in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value
Stay on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadis