Staff AI/ML Scientist (Barcelona)

Staff AI/ML Scientist (Barcelona)

15 ago
|
jobtraffic
|
Barcelona

15 ago

jobtraffic

Barcelona

Company DescriptionWork smart, have fun and make an impactEcoVadis is the leading provider of business sustainability ratings.

Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud.

Our solutions are backed by an international team of experts and powerful technology.

We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.Why apply to EcoVadis? Be a part of the global sustainability change in business.

Grow your career.

Work with extraordinary people.

Feel valued for your contribution.Learn more about our team and culture on EcoVadis careers page.Job DescriptionWe 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.Your integral responsibilities will include (but will not be limited to):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 AIPromote best practices in AI / ML and mentor junior team membersLead functional teams and initiatives to accelerate the adoption of Conversational AILeverage Python, MLflow, Azure stack (e.g., Azure cloud, Azu

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