Staff AI/ML Scientist (Conversational AI)

EcoVadis; Barcelona; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Wellness allowance

Mental health support

Learning and development

Sustainability events

Remote work from abroad policy

Meals and transit vouchers

Private health insurance

Paid moving day

Time off: Community/Personal Day

Job summary

EcoVadis is seeking a Staff AI/ML Scientist focused on Conversational AI to redefine how users interact with enterprise data. You will design multi-turn agents, leverage LangGraph, AutoGen and similar frameworks, and mentor junior team members across a global AI Center of Excellence.

You will work with Python, MLflow, Azure stack and Databricks to deliver end-to-end AI solutions, collaborating with Engineers and Product Managers to translate complex procurement, supply chain and sustainability

Qualifications

• 8+ years of overall experience in machine learning and NLP, with at least 4+ years specializing in Conversational AI in production environments.

Responsibilities

• Design and test multi-turn, state-aware conversational systems using LLM reasoning loops and multi-agent orchestration frameworks.

Skills

Machine Learning

Natural Language Processing

Conversational AI

Python

MLflow

Azure

Databricks

ReAct

Tools

LangGraph

AutoGen

Azure ML

Job description

Staff AI/ML Scientist (Conversational AI)

• Full-time

Work smart, have fun and make an impact!

EcoVadis is the leading provider of business sustainability ratings. 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.

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.

Your global 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 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

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)

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

Offer available only for candidates eligible to work and live in Spain

Location: Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain

In return for your expertise, we offer:

• Support with all the necessary office and IT equipment
• Wellness allowance for mental and physical wellbeing
• Access to professional mental health support
• Learning and development
• Sustainability events and community involvement
• Employee-led resource groups
• Remote work from abroad policy
• Meals and Transportation Vouchers (Coverflex card)
• Life & Accident Insurance + Private Health Insurance
• Paid moving day (1/year)
• Time off: 1 Community Service Day + 1 Personal Day
• Summer Hours in July and August (36 hours per week)
• Hybrid Monthly Allowance for electricity and Internet

Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect.EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).